Open Ann Arbor software jobs

Summary

This is an infrastructure/storage engineering role on the university's Advanced Research Computing team, operating and supporting large research storage platforms (NFS v3/v4 with Kerberos, CIFS) in a production Linux/HPC environment. Work includes installing and patching storage software, provisioning workflows, performance tuning, automation via bash/Perl/Python, and user support rather than application development. It calls for several years managing production Linux systems.

Summary

Experienced software engineering role turning remote sensing algorithm prototypes into robust, scalable applications supporting synthetic aperture radar, low observables and electro-optical collection. Day-to-day work is Python, C++ or Rust in Linux and AWS environments, partnering with radar and research scientists to improve product image quality, and covering planning, design, implementation, testing and maintenance. It requires an active TS/SCI clearance and roughly seven years of software engineering experience, is worked onsite, and carries up to 10 percent travel within the continental United States.

Summary

A software developer role on Merit Network's development team, creating web applications, tools and integrations that support network, community and operational services for higher education and public sector members, including Merit RADb, the NetSuite ERP and the Merit Member Portal. Front-end work uses JavaScript, TypeScript, HTML5, CSS and modern frameworks while server-side work uses Python with Django or Django REST Framework, alongside relational databases, API and web service integrations, and identity work spanning Single Sign-On, OAuth 2.0 and OpenID Connect. The role also carries application support duties, responding to production issues and trouble tickets and monitoring application performance, using Docker, Kubernetes, version control and CI/CD pipelines.

Summary

Builds the Python tooling and data systems that let a fleet operations team plan and optimize autonomy data collection for an automated trucking platform. Responsibilities include automating route prioritization, collection run setup, asset tracking and data ingestion, validation and release workflows, developing fleet and data-collection metrics surfaced in live dashboards so quality issues are caught during a mission, contributing to map tooling that uses simulation and topology evaluation to validate mapping updates, and maintaining relational and spatial databases. The role builds cloud data pipelines and analytics infrastructure in close collaboration with Fleet Operations, Mapping, Perception, Localization and Data Annotation teams.

Summary

Technical leadership on the agent platform team that builds the infrastructure, tooling and observability behind AI agents for legal professionals. The role sets architecture across several concurrent initiatives at once, covering agent systems built on modern LLM APIs, agent SDKs and orchestration runtimes, agent observability and evaluation through tracing, automated evals and drift detection, and progressive, feature-flagged deployment that pushes quality and safety checks earlier in the pipeline. It also mentors a senior engineering team, including how they use AI-native and agentic development practices, and expects comfort operating with high autonomy.

Summary

Software engineering role on the Sensor and Calibration sub-team of an autonomous driving program, building the tools that calibrate cameras, LiDAR, radar and IMU sensors. Responsibilities include designing calibration tooling and operator-facing interfaces, automating sensor data logging and cloud uploads, tracking calibration parameters per vehicle, validating calibration quality, and keeping the calibration pipeline stable as the tools are deployed to production vehicles. The role is hybrid, requiring three days a week in the Ann Arbor, Michigan office.

Summary

Software engineering role converting algorithm definitions and research prototypes into robust applications for synthetic aperture radar, low observables, electro-optical and other remote sensing capabilities. The work is Python, C++ or Rust in Linux and cloud environments, in close collaboration with radar and research scientists on image quality, and spans the full lifecycle from requirements through deployment and maintenance. An active TS/SCI clearance is required to start, roughly two years of software development experience is expected, and the role must be worked onsite.

Summary

Software engineering role on the data platform team at an autonomous vehicle company, contributing to the design and maintenance of real-time and historical data pipelines and to the libraries and APIs used to manage, search and analyze vehicle datasets. The work also includes collaborating on front-end interfaces that visualize data for fleet operations, implementing data quality checks and monitoring, and optimizing processing workflows for performance, scalability and cost. Requires a computer science or computer engineering degree or equivalent experience, two or more years in software engineering, object-oriented programming in a language such as Python, Rust or Java, and cloud platform experience.

Summary

Backend engineering for the international CoCounsel product, building the services that take early Labs AI agent concepts into scalable production features used by legal professionals worldwide. Work includes defining service boundaries and architectural patterns, integrating with modern LLM providers and implementing orchestration, routing, guardrails, error handling, telemetry and observability, and mentoring other engineers through pairing and code review. Requires four or more years building production backend systems plus proven experience deploying production-grade agentic AI workflows; the position follows a hybrid model of two to three days a week in the office.

Summary

Lead engineering role on CLEAR, an investigative platform that searches and analyzes billions of public and proprietary records, building AI-driven systems including multi-component pipelines, retrieval-augmented generation architectures and autonomous agents with multi-step reasoning. The work is full stack, running from AI orchestration through API gateways and microservices to web interfaces, and carries responsibility for testing, monitoring and observability of AI systems at scale, MLOps and LLMOps governance for the model lifecycle, and compliance with ethical AI, security and regulatory requirements. Requires eight or more years of software engineering experience with at least four in senior or lead AI-focused roles, and specifies an engineer with AI expertise rather than a data scientist or ML researcher.

Summary

A data science and machine learning engineering role in the Machine Learning in Neurosurgery lab, building the multimodal data infrastructure behind medical AI systems across radiology, digital pathology, intraoperative microscopy and longitudinal electronic medical records. The work covers ingestion, harmonization and versioning pipelines, durable SQL data models and cohort-building tools, DICOM, MRI, CT and whole-slide preprocessing, automated data quality, lineage, de-identification and audit for HIPAA-regulated research, and support for distributed training on high-performance and cloud computing with modern MLOps practices. The Data Architect Senior title reflects a university job classification; the described position is a data scientist and machine learning engineer, and a master's degree or substantial equivalent professional experience is expected.

Summary

Staff application security role on the infrastructure and SRE platform team at an internet intelligence company, owning the AppSec and DevSecOps roadmap for how the company builds and ships software. The work is building security tooling in Kubernetes and Google Cloud, integrating code scanning, secret detection, software composition analysis and infrastructure policy enforcement into CI/CD pipelines such as GitHub Actions and ArgoCD, and setting security architecture for AI and ML workflows including access control, artifact validation and model provenance. It also covers SOC 2 and ISO 27001 audit readiness engineering, expects around ten years of experience, is remote within the United States or Canada, and includes a shared on-call rotation.

Summary

A principal software engineering role dedicated to cloud and AI-inference cost optimization inside the CoCounsel product engineering team, serving as the embedded expert on how cloud and model spend is tracked, forecast and reduced without sacrificing reliability or user experience. The work covers tuning LLM usage for cost efficiency through model selection, routing, batching, caching and provider mix, building cost dashboards, showback and chargeback reporting and forecasting models, and establishing spend SLOs, budget alerts, anomaly detection and incident response for cost spikes. FinOps practice and tooling is treated as core rather than a nice-to-have, alongside hands-on cloud infrastructure experience and enough Python, Kubernetes and distributed systems familiarity to instrument and reason about production code.

Summary

An engineering role in Michigan Medicine's AI and Digital Health Innovation group, building and maintaining the data pipelines, containerized services and integrations that power AI-driven research and clinical tools. The work runs on Kubernetes and OpenShift with Python, integrating AI tools and enterprise LLMs with institutional platforms including MiChart, Epic EHR and REDCap, and maintaining backend systems for research tools such as PRISM and HELPR while meeting institutional security, HIPAA and data governance standards. The position is hybrid out of Ann Arbor with fully remote considered for the right candidate, and a cover letter is required for consideration.

Summary

Engineering management role over a senior team on a legal AI product, owning hiring, performance, and career growth while driving delivery across platform, files, and agent team boundaries. The emphasis is shipping iteratively against fixed external deadlines through scope negotiation and feature-flagged rollouts, and reducing single-person dependencies in critical systems. It requires 2+ years managing software engineers and 8+ years of engineering experience including Python backend and distributed systems depth, with LLM-powered or agentic product background preferred.

Summary

Technical architecture plus hands-on development for a financial ERP estate built on Oracle E-Business Suite, spanning Service Contracts, Order Management, eCommerce, Inventory, Accounts Receivable and Payable, integrations, and reporting. The work includes technical architecture documents, solution design and technical leadership on medium-scale projects, integrations over SOAP and REST APIs with middleware or ETL tools, and custom interfaces and extensions written in PL/SQL, Java, HTML, CSS, and JavaScript. Requirements are specific and firm: 7 or more years of ERP experience, 5 with Oracle ERP, 3 in technical leadership, and depth in at least five named Oracle ERP modules.

Summary

Data architecture role in an academic ophthalmology department, building and maintaining the research data infrastructure that supports data science and AI studies across multiple research teams. The work integrates multi-modal data such as electronic health records, visual fields and ophthalmic imaging into shared systems, maintains existing Epic Clarity extraction pipelines, and sets standards for data governance, quality assurance and HIPAA compliance. It calls for SQL and Python data engineering skills and is a hybrid position.

Summary

Applications programmer supporting a cardiovascular quality-improvement consortium, building and maintaining database-driven applications, Airtable solutions, and workflow automations for a new heart failure registry. The work is SQL-heavy, including query optimization and complex transformations, plus data pipelines that ingest, transform, and move data between registry systems, with development in PHP and Python. The posting notes explicitly that the position implements and supports technical solutions rather than performing traditional systems analysis.

Summary

Senior applications programmer on a clinical registry team, designing and maintaining complex database-driven applications and services with heavy emphasis on advanced SQL, stored procedures, data models, and pipelines. Backend development is in PHP and Python with some full stack work, Git-based version control and code review, Docker packaging, and light server and application infrastructure maintenance. Knowledge of HIPAA and PHI data handling is called out, and the role is expected to work independently on complex production issues and technical judgment calls.

Summary

Senior data engineering on an enterprise data platform, building ingestion, transformation, and data product frameworks with Azure Data Factory, Databricks, Spark, and Delta Lake for structured, semi-structured, and unstructured data at scale, including streaming solutions on Kafka or similar. The role carries technical leadership duties such as mentoring engineers, reviewing solution designs, and setting standards for CI/CD, testing, and observability, and it defines data access controls and RBAC policies with security and governance teams. Customer 360, identity resolution, and martech activation use cases such as personalization, campaign, and loyalty data are called out as highly desired, alongside 8 or more years in data engineering.

Summary

Backend and data engineering for the ADAS simulation and validation tools group at Toyota's mobility software arm, supporting L2 to L4 autonomous driving and driver assistance development. The role designs cloud-native, large-scale ETL workflows that ingest, transform, and correlate real-world and simulated driving data, plus schema design, APIs for analytics applications, test orchestration, and traceability systems used by global engineering teams. It carries technical leadership expectations: championing best practices, code review, and mentoring other developers.

Summary

Owns the company's internal systems ecosystem rather than customer-facing product: auditing the tool landscape across sales, marketing, product, people, and finance, consolidating redundant tools, and improving integrations, data integrity, and reporting. The day to day involves APIs and automation platforms such as Zapier, Workato, or Tray, driving adoption through training and documentation, and piloting AI features inside existing SaaS tools. It asks for 7 or more years in business systems, operations, or IT with tools like Salesforce, HubSpot, Greenhouse, Rippling, and Zendesk.

Summary

A software quality and test-automation engineering role building and maintaining automated test suites across unit, API, integration, regression, and end-to-end testing in an Agile environment. The work involves Java-based automation frameworks (Selenium, Playwright, Cucumber, RestAssured), CI/CD integration, and code reviews of test artifacts, partnering with developers to ensure coverage. Strong Java coding experience is required.

Summary

Autonomous vehicle systems engineering focused on requirements definition and validation rather than writing the autonomy stack itself: capability-level requirements with end-to-end traceability, operational design domain and route analysis, and scenario-based test suites for both simulation and on-road evaluation. The role also builds automated KPI-driven reporting pipelines and feeds real-world field events back in to close simulation coverage gaps. Scenario design must comply with industry and regulatory frameworks such as Euro NCAP and NHTSA, and the posting asks for automotive systems engineering experience including time on autonomous driving or driver assistance systems.

Summary

A principal software engineering role owning the security and compliance architecture for CoCounsel, translating frameworks such as SOC 2 Type II, ISO 27001/42001, HIPAA, and FedRAMP into technical controls. The work emphasizes compliance-as-code (automated evidence collection, continuous control monitoring, policy-as-code) plus encryption, key management, tenant isolation, and audit logging at production scale. Requires deep backend engineering (Python, Java, or Go) on AWS and hands-on identity and access management experience.

Summary

A principal software engineering role owning identity and access management across CoCounsel Legal, designing how users, autonomous agents, and services authenticate and authorize with full auditability. The work spans SSO/SAML/OIDC/OAuth, RBAC/ABAC, multi-tenancy isolation, and data residency, alongside high-throughput AI workloads such as caching, model failover, and vector stores. Built with deep Python and FastAPI expertise on AWS within a small, fast-moving senior team.

Summary

A data architect and data scientist role designing the data infrastructure, relational databases, and warehousing for a new cardiovascular heart-failure registry. It builds ETL workflows that extract and harmonize clinical data across heterogeneous EHR systems using FHIR, and applies machine learning and predictive analytics for population-health management. Requires a master's or PhD and deep experience with complex relational databases in a healthcare setting.

Summary

A software engineering role on the Simulation Environments team building and maintaining cloud-based simulation services that support virtual driver-stack testing and large-scale simulation for autonomous trucks. Work uses Python and C++ on Linux with AWS managed services and Terraform, spanning design, deployment, CI/CD, and monitoring. Includes an on-call rotation, typically one week per team member, to support production systems.

Summary

Simulation engineering role supporting virtual testing of Torc's autonomous trucks, using a mix of replayed real-world driving data and simulated scenarios. The work is developing test scenarios, overseeing execution of test plans in simulation and replay environments, analyzing test event logs afterward, and identifying requirements for new virtual testing tools, infrastructure and simulated vehicle sensors. The team builds cloud-based simulation tooling for massive parallel execution, and the role serves as an internal subject matter expert helping other teams use it, including software-in-the-loop and hardware-in-the-loop methods.

Summary

A functional safety engineering role on the Product Integrity team at Woven by Toyota, working on the safety of autonomous-driving and driver-assist (AD/ADAS) software for software-defined vehicles. The work is hands-on at the intersection of system architecture and software: allocating safety requirements to software components, defining safety mechanisms such as diagnostics, watchdogs, plausibility checks and safe states, and partnering with verification and validation on HIL and vehicle testing. It draws heavily on functional-safety practice (HARA, ASIL decomposition, FMEA/FMEDA, FTA, and safety-case evidence) rather than general feature development.

Summary

An embedded software engineering role on the Device Drivers team, building C/C++ software that interfaces sensors (PCIe, DMA, Ethernet, CAN) with autonomous-truck systems and moves sensor data to consuming systems. The work involves Linux embedded development, real-time performance tuning in multi-threaded and multi-core environments, and maintaining build pipelines and test tooling. Nice-to-haves include Nvidia DriveOS and ISO 26262/ASPICE familiarity.

Summary

A senior machine-learning engineering role building production perception models for autonomous trucks, with emphasis on camera-based and 3D perception using multi-modal sensor data. The role owns end-to-end model development from data preparation and training through evaluation and deployment using Python and PyTorch, and integrates models into production autonomy software. Bonus areas include LiDAR, point-cloud processing, and sensor fusion.

Summary

A software engineering role at semiconductor-equipment maker KLA building AI-driven applications powered by large language models, with an emphasis on application development and orchestration rather than model training. Responsibilities include backend services that orchestrate LLM interactions, prototyping user interfaces, integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic), and implementing retrieval-augmented generation with vector databases. Manufacturing-domain experience and familiarity with frameworks such as LangChain or LlamaIndex are preferred.

Summary

A software engineering role converting algorithm prototypes into robust, production applications for synthetic aperture radar (SAR) and electro-optical remote-sensing systems, working with radar and research scientists to improve image quality. Requires 5+ years of software engineering, experience with a language such as Python, C++, or Rust, and familiarity with Linux and cloud (AWS preferred). An active TS/SCI US government security clearance and onsite work are required; based in Ann Arbor.

Summary

A PeopleSoft application developer on the Student Administration team, building and maintaining web and batch applications, reports, and integrations for the Oracle Campus Solutions system. The stack includes PeopleTools, PeopleCode, SQR, COBOL, Application Engine, Integration Broker, and BI Publisher, with API-based system integrations. Requires occasional non-business-hours work; hybrid or mobile/remote work mode is currently eligible.

Summary

A senior systems-test engineering role validating autonomous-driving software through hardware-in-the-loop (HiL) testing, including designing, building, and maintaining HiL test benches. The work develops automated test scripts and frameworks, integrates hardware and software into HiL environments, and performs verification and validation aligned with safety standards such as ISO 26262, using platforms like dSPACE, NI, or Vector and tools such as ROS/ROS2 and CAN. It sits at the intersection of software, hardware, and autonomy.

Summary

A senior software quality engineering role building the quality platform, tooling, and automation behind SkySpecs' Horizon wind and solar inspection and asset-management product. Focus areas include CI/CD quality gates, test infrastructure, and quality telemetry and dashboards, plus partnering on testable design, using a stack of Node.js, TypeScript, React, and Pytest/Vitest/Playwright.

Summary

AI and ML-focused research engineer at Thomson Reuters Labs building large-scale data-processing pipelines and scalable ML systems to serve legal, tax, accounting, government, and news domains. Applies modern software development across the full lifecycle (build, test, deliver) in a fast-moving applied R&D environment. Requires a CS degree or equivalent, 5-plus years of software engineering, and 2-plus years of ML experience.

Summary

Senior platform engineer building and operating multi-region Azure Kubernetes (AKS) platforms for high-availability, consumer-facing workloads at Domino's. Hands-on scope includes Terraform infrastructure as code, GitHub Actions and FluxCD GitOps, Front Door, CDN, and WAF traffic management, SLOs and incident response, and platform security engineering such as Zero Trust, secrets, container, and supply-chain security. Strong Azure, Kubernetes, and IaC background expected.

Summary

Senior DevOps and platform engineering role building the off-device platform that ingests, processes and serves data from edge AI devices deployed in data centers, spanning both cloud and on-premises environments. Day-to-day work covers Kubernetes container orchestration, AWS and on-prem systems, Terraform infrastructure as code, CI/CD pipelines, monitoring against service level objectives and support for SOC2 compliance. It asks for 8 or more years of development experience and includes on-call rotations, incident response and travel up to 20 percent.

Summary

This role develops motion planning, trajectory generation, and trajectory optimization algorithms for Torc's autonomous tractor-trailer trucks, using techniques such as graph search, sampling-based and optimization-based planning, and Frenet-frame approaches. The work is production C++ in Linux, incorporating vehicle kinematic and dynamic constraints, plus validation across SiL, HiL, and ViL environments in close collaboration with safety, controls, and simulation teams.

Summary

An engineering management role at autonomous-trucking company Torc leading a new release-pipelines team that automates build, packaging, and release workflows for safety-critical self-driving software. It combines build/release engineering depth (Bazel, Temporal, containerized delivery on AWS) with managing and growing a team, and expects experience with embedded software distribution.

Summary

This is an embedded software and firmware engineering role that adapts Utilidata's Karman platform to OEM partner hardware by developing OS-level and firmware components (embedded Linux BSP, drivers, kernel-level debugging) and building test frameworks and configuration checkers. It uses C or C++ for embedded work and Python or Rust for tooling, and it is partner-facing with design reviews and on-site visits. The role expects several years of embedded Linux and firmware experience.

Summary

This position builds and owns high-fidelity vehicle dynamics models (longitudinal, lateral, and transient truck behavior) and the closed-loop simulation platforms used to validate autonomous driving software at scale. It is primarily a C++/Linux software role with ROS/ROS2 tooling that also requires physics-based ground-vehicle modeling knowledge (tire, powertrain, dynamics) and close work with autonomy, controls, and V&V teams. Regression frameworks and root-cause analysis on simulation and hardware-in-the-loop runs are central.

Summary

A hands-on, customer-facing implementation role configuring and delivering S-Docs document-automation solutions on the Salesforce platform using Apex, Flows, and Lightning Web Components across onboarding and professional-services engagements. Although it partners with Sales on scoping and feasibility, the core work is post-sale solution design, build, and troubleshooting for client deployments.

Summary

Hardware-in-the-loop test engineering role validating an autonomous vehicle system by integrating autonomy software with vehicle hardware in a controlled lab, including bench testing of sensors and compute modules and replaying real-world drive logs. It requires building HIL test environments, test-case automation and scripting, CAN and Ethernet protocol knowledge, Linux, and integrating results with AWS; 5+ years testing safety-critical systems, preferably automotive, is expected.

Summary

Software integration engineering role owning the end-to-end integration process for an autonomous vehicle software stack, coordinating multi-team software deliveries, maintaining a clean integration branch, and building automated test pipelines and CI/CD infrastructure. The work includes simulation-based and on-vehicle testing, root-cause analysis of integration failures, and close coordination with perception, planning, and controls teams.

Summary

Product cybersecurity engineer embedding security across the development lifecycle of autonomous vehicle systems through threat modeling, secure coding standards, vulnerability management, and SBOM/HBOM maintenance spanning hardware, firmware, and software. The role supports automotive security compliance (ISO 21434, UNECE R155/156, UL 4600), conducts TARA/HARA analyses, and engages Auto-ISAC on emerging threats. This is a remote US position bridging cybersecurity, hardware, and product engineering teams.

Summary

A hands-on software quality and test-automation engineering role building and maintaining automated test suites (unit, API, integration, end-to-end, regression) within CI/CD pipelines for an Agile environment. Heavy Java focus — 5+ years of Java coding required — using tools like Selenium, Playwright, RestAssured, Cucumber, and REST/GraphQL, with SQL for test data. Minimum 7 years of experience preferred (Ann Arbor).

Summary

Reporting and data platform architecture inside an academic medical center's financial systems group, designing and administering enterprise reporting solutions and the relational data warehouse behind them. Roughly half the role is hands-on technical programming and application administration of cloud-hosted finance applications, and it calls for Oracle technologies including Oracle Cloud Analytics and Cloud EPM along with strong SQL and data modeling. The posting also expects working knowledge of finance, accounting, and health care business practices, and involves partnering with vendor and enterprise architecture teams.

Summary

Despite the generic analyst title, this is the production administrator for Michigan Medicine's enterprise financial-reporting stack — Oracle Cloud Analytics (Finance BI) and multiple Oracle EPM Cloud applications, plus their data warehouse and integrations. The day-to-day is monthly production validation, change management of hierarchies and statistics, and data-quality assurance, so it leans on SQL, relational data modeling, and Oracle Cloud technologies alongside genuine accounting, finance, and healthcare-business fluency. Best for a financial-systems analyst comfortable acting as liaison between Finance stakeholders and solution architects, not a generalist business analyst; on-site in Ann Arbor.

Summary

This is a senior cloud-native architecture role developing enterprise architectural standards and leading technical workshops for Azure-based cloud-native solutions, including FinOps-driven cost optimization and modern patterns like event-driven architecture and domain-driven design. It requires 8+ years in IT architecture or senior software engineering, deep Java/.NET expertise, and mentors less experienced architects.

Summary

This is a cloud-native application architecture role designing application-level architectures (microservices, RESTful APIs, event-driven architecture) on Azure, applying Secure by Design/Zero Trust principles, and mentoring engineers through design and code reviews. The work spans Java or .NET ecosystems and tools like Sparx EA, Visio/Lucidchart, JIRA/Confluence and Git/GitHub.

Summary

An ML/data engineering role at an autonomous-trucking company, building cloud pipelines that convert petabytes of logged multi-sensor driving data into training datasets for vision-language-action (VLM/VLA) models. Work includes VLM-assisted auto-labeling and generating reasoning-grounded annotations to feed Torc's end-to-end autonomous driving model development — a data/ML infrastructure role rather than general product software development.

Summary

An image-processing algorithm engineering role building new algorithms for KLA's semiconductor inspection products — from proof-of-concept through productization and evaluation, not off-the-shelf methods. It suits an engineer who enjoys deep algorithmic problem-solving and wants to become a domain authority on the KLA Algorithm team.

Summary

A forward-deployed engineering role that sits between KLA's AI engineering team and its business units, owning the internal AI platform and building the infrastructure future AI deployments rely on. The work is platform and infrastructure engineering against proprietary semiconductor data rather than model research, and it is based in Ann Arbor.

Summary

A people-management role leading a team of AI, ML, and software engineers delivering AI and GenAI products, combining hands-on technical oversight with delivery accountability and career development. It suits an engineering manager who can partner across product, data, platform, and security and keep AI solutions reliable in production.

Summary

A senior backend systems software role in modern C++ (11/14/17/20), architecting high-performance, scalable server-side infrastructure for big-data analytics and distributed storage — real-time data processing, system integration, and API services. It is deep backend/infrastructure software work for an engineer with a track record in mission-critical, performance-sensitive systems.

Summary

Principal engineer owning architecture and AI strategy for Cloud Audit Suite, including how it integrates with Confirmation and CoCounsel Audit through MCP servers, shared APIs, and agent-to-agent connections. The stack is C#/.NET and Python/FastAPI with PostgreSQL on AWS and Vercel; the job is setting technical direction across multiple product lines and mentoring staff and senior engineers rather than feature work.

Summary

Staff engineer owning the backend and orchestration layer behind CoCounsel for Audit's agents, conversations, workspaces, and knowledge base: Python, FastAPI, PostgreSQL, AWS, and Vercel services with MCP servers, tool calling, and guardrails around third-party LLMs from OpenAI, Anthropic, and others. A set-technical-direction-and-mentor role for someone who still wants to spend most of their time in the code.

Summary

Software engineering role supporting an autonomous-vehicle perception team by building CI/CD pipelines, developer tooling, and simulation/replay infrastructure, tuning the on-vehicle inference pipeline to real-time latency budgets, and developing classical/heuristic perception methods that complement learned models. Hands-on production coding with room to grow into owning larger parts of the stack.

Summary

This is a technical-delivery role rather than a generic title-only opening. The JD reads like a practical delivery role, so the real fit depends on whether the stated systems and ownership match what you want to build.

Summary

A PhD-level quantum computing architect role at an early-stage startup focused on fault-tolerant quantum systems using multiple qubit modalities — the job is to own the end-to-end architectural vision from quantum error correction theory down to hardware-level implementation on real devices. This is genuinely unusual work at the intersection of QEC theory, hardware-aware protocol design, and algorithm co-design for AI/ML applications. 8+ years of QEC and fault-tolerance experience required; visa sponsorship available.

Summary

Principal engineer shaping the AI platform behind CoCounsel Legal, with an unusual emphasis on identity and trust: defining how autonomous agents act safely on a user's behalf through scoped delegation, RBAC/ABAC access control, SSO/OIDC/OAuth, and the audit trails legal and government customers require. Also owns scale and reliability for high-throughput LLM workloads over millions of legal documents, on a small senior team with direct customer access.

Summary

Remote sensing software development in CACI's RST business unit — turning synthetic aperture radar and electro-optical algorithm prototypes into robust production applications alongside research scientists. Requires US citizenship with willingness and ability to obtain a Top Secret clearance (processed before start) and 5+ years of software engineering experience.

Summary

Systems engineering for a radar and sensor technologies program — defining requirements for software staff, adapting architecture, creating test approaches, and translating signal processing algorithms into working code with the development team. Requires US citizenship with a current Top Secret clearance, full-time on-site work, and knowledge of signal processing plus Scrum/Agile and Jira experience.

Summary

A people-management engineering role — explicitly not a hands-on coding seat — leading Torc's App Engine team, which builds the middleware that integrates deep-learning models into a self-driving-truck autonomy stack. It still demands real technical depth in CUDA and GPU optimization, model-conversion pipelines (PyTorch, TensorRT, ONNX), C++, and real-time, safety-critical integration, paired with 3+ years of people management to set direction and grow the team. Hybrid in Ann Arbor (or Blacksburg/Fort Worth) or US-remote.

Summary

An engineering manager in the Release organization at autonomous-truck software company Torc Robotics (part of Daimler), leading the Engineering Quality Management team. The focus is quality assurance, defect prevention, process and standards, and release-artifact traceability across the AV software lifecycle rather than feature development.

Summary

A senior (Level III) site reliability engineer at Domino's Pizza, leading the design and optimization of reliability solutions for mission-critical systems, owning incident response and root-cause analysis, building observability frameworks and driving automation. A technical-leadership SRE role with significant autonomy and mentoring.

Summary

A mid-level Android engineer at Domino's Pizza building the company's mobile app, expected to write high-quality, performant and secure code, work fluently with the language, libraries and tooling, and mentor less-experienced developers. Posted base around 120k-130k; hands-on Android development.

Summary

A hands-on systems/integration engineer (Engineer I) on Torc Robotics' System Integration and Enablement team, building test infrastructure, automation frameworks and Hardware-in-the-Loop environments that integrate hardware, embedded and autonomy software for self-driving trucks. Expect bring-up, integration testing and on-truck troubleshooting.

Summary

Embedded controls engineering role owning May Mobility's vehicle-controls interface, developing a platform-agnostic controls abstraction layer and the algorithms that command body controls, brake, steer, and throttle so the Autonomous Driving Kit can port across vehicle platforms. It demands deep control-theory and vehicle-dynamics expertise, real-time embedded programming in C/C++, automotive networking (CAN-FD, automotive Ethernet, FlexRay), functional-safety standards, and hardware-in-the-loop validation and FMEA, making it a controls and embedded-systems role rather than general application software. Based in Ann Arbor with technical leadership and mentorship duties.

Summary

This is an automotive in-vehicle network and connectivity architecture role for an autonomous-driving kit, defining how the vehicle's physical domains, central compute, and cloud systems communicate and how over-the-air updates and telematics are delivered. It bridges hardware and embedded software, leaning on service-oriented middleware and deep command of automotive functional-safety and cybersecurity standards such as ISO 26262 and ISO/SAE 21434. This is safety-critical embedded and vehicle systems work, not enterprise application development.

Summary

A software engineer role on Torc Robotics' Ego-Motion and Localization team building production software for self-driving trucks: developing state-estimation and sensor-fusion algorithms that estimate vehicle pose, velocity and acceleration in real time, in modern C++ and Python, plus verification, validation and real-world data analysis. It asks for 3+ years of professional C++ and strong software-engineering fundamentals, ideally in robotics or autonomous vehicles; Ann Arbor.

Summary

A senior software engineering role focused on machine learning, AI, and data science — building and deploying ML models (data preprocessing, training, validation) and the scalable architecture around them. It pairs strong engineering with business translation to ship practical AI solutions, on-site in Ann Arbor.

Summary

DevSecOps and infrastructure engineering to deliver a complex software application into operations — working with Kubernetes and containerization, major cloud platforms, infrastructure as code, and CI/CD pipeline development. Requires an active TS/SCI clearance with polygraph plus an IAT Level II or III certification such as Security+, CISSP, or CASP+.

Summary

A senior full-stack engineer at SkySpecs in Ann Arbor building Horizon, the platform behind its wind and solar inspection and asset-management business. The role is hands-on end-to-end across frontend, backend, infrastructure, and data (AWS, Node.js/TypeScript, React, Apollo GraphQL, Kafka, PostgreSQL), with AI tools and agents treated as central leverage. It wants 5+ years shipping and operating production software - a fit for a versatile engineer who works across the whole system.

Summary

This is a customer-facing software integration engineering role that designs and builds custom API connectors between Utilidata's Karman platform and customer data-center software (DCIM platforms, hypervisors, management APIs), plus configuration checkers, test suites, and validation tooling in Python or Rust. It emphasizes Linux environments, containerized and virtualized deployments, and independently debugging installation failures, and it includes a 24x7 on-call rotation. This role is remote.

Summary

A systems engineering role supporting operations for a complex CACI software system. The work is requirements management, verification planning, test procedure development, customer milestone support, and coordination across distributed engineering teams.

Summary

A senior DevSecOps role helping move a complex CACI software application into operations. The core work is Kubernetes, containers, Helm-based deployment, automated testing, and CI/CD pipelines for an operations-facing program.

Summary

An HPC software engineering role writing and optimizing software for large-scale Linux clusters — distributed and parallel workloads (MPI, multithreading, GPU-accelerated and containerized pipelines) with a strong focus on performance and power efficiency across CPU, memory, storage, and network. It works closely with hardware and systems teams, so hardware awareness helps.

Summary

An associate solution architect role focused on treasury and tax platforms, supporting the design and integration of global tax and treasury technology rather than general application development. The work spans ERP platforms, tax engines, e-invoicing, treasury management systems, and banking connectivity, with API-first integrations for audit-ready financial operations. It requires a bachelor's degree and 5 or more years in systems, integrations, or solution-architecture-adjacent roles with tax technology exposure.

Summary

A senior autonomy software integration engineer on Torc Robotics' Integration and Delivery team, bringing together capabilities from perception, behaviors, and platform teams into the cohesive TorcDrive product. The role ensures autonomy applications run reliably on embedded vehicle hardware and move from development to deployment. Best for a senior software integration engineer in autonomous systems.

Summary

A lead applied scientist role at Thomson Reuters defining research strategy and leading AI/ML initiatives across product features in domains like legal reasoning, document understanding, and knowledge graphs. The work provides technical vision and thought leadership and mentors scientists, and the posting asks for a PhD or Master's plus 7-plus years building production IR, NLP, ML, or GenAI systems. A fit for a senior applied scientist who wants to set AI research direction.

Summary

A mid-level software engineer (level II) at Torc Robotics building Mission Interface and Vehicle Intent software that lets the Mission Control and Remote Assistance teams interact with the self-driving truck's software stack. The role focuses on high-quality, production-ready software within the automated driving system. Best for a software engineer who wants to work at the interface between cloud operations and the autonomy stack.

Summary

Staff-level machine learning role setting the technical direction for autonomous control of mineral refining at a company that builds and runs its own plants. Scope includes owning the autonomy roadmap across multiple circuits and facilities, defining how control models are validated and certified as safe to deploy on live refining equipment, setting standards for the simulators and modeling stack, and personally taking on the hardest problems in non-stationarity, safety constraints and multi-objective optimization across recovery, reagent use, energy and uptime. The role also partners with leadership on capital and operational decisions and multiplies the team through design review and mentoring.

Summary

Senior data engineering role at a minerals company that operates its own refineries, owning a data domain end to end — for example all plant sensor and historian data, or all lab and analytical results. Responsibilities include designing and evolving pipelines from messy industrial sources such as sensors, lab systems, historians and imagery, modeling time-series and analytical data for both human analysis and machine learning training and monitoring, and owning schema design, orchestration, data quality, observability and lineage. The role also mentors earlier-career engineers and defines the data contracts other teams build against, with four to eight or more years of data engineering experience expected.

Summary

Machine learning role at a vertically integrated minerals company that designs, builds and operates its own mines and refineries, working on the reinforcement learning systems that control mineral refining circuits. The work starts inside physically realistic process simulators — running experiments, shaping reward functions, observations and action logic, training control models and diagnosing why they underperform — and ramps toward models that adjust set points on live plant equipment. It also involves closing the gap between simulation and real plant data and writing tested code for the services that put models into production, with two to eight or more years of machine learning, reinforcement learning or scientific computing experience expected.

Summary

A lead research engineer at Thomson Reuters Labs (Eagan MN, Ann Arbor MI, and international sites) bringing AI and ML expertise to build data-driven products for legal, accounting, and government professionals through applied research and development. An AI research-engineering role.

Summary

A staff software engineer (AI II) at Thomson Reuters building enterprise-grade AI systems including domain-specific agent frameworks and advanced RAG architectures. 8+ years software / 4+ years AI/ML leadership in Python with PyTorch/TensorFlow/JAX.

Summary

A Salesforce engineer at Thomson Reuters across Sales Cloud, Service Cloud, CPQ / Conga CPQ — Flow, Lightning Web Components, REST/SOAP APIs, and Data Loader/Workbench. Salesforce platform-specialist role.

Summary

A senior software role developing the control and image-processing software inside KLA's semiconductor inspection machines — image acquisition and processing, robotics, machine control, and distributed/high-performance computing. It suits an engineer who wants to own software that drives physical inspection systems end-to-end.

Summary

ML-infrastructure software engineering role on an autonomous-driving ML team, architecting and operating data, training, and evaluation pipelines across cloud and cluster environments, including GPU scheduling/autoscaling, distributed training, and experiment tracking. Requires C++, Python, and PyTorch plus experience building production ML infrastructure at scale; remote.

Summary

A mid-level software engineer (level II) on Torc Robotics' Mission Control team building and supporting cloud-based web applications using TypeScript/JavaScript, HTML, CSS, and Python. The role owns the full development lifecycle in an Agile environment and uses cloud services to reach production. Best for a full-stack/web engineer interested in autonomous-trucking cloud apps.

Summary

An entry-level software engineer (level I) on Torc Robotics' Mission Control team building and supporting cloud-based web applications using TypeScript/JavaScript, HTML, CSS, and Python. The role owns the full development lifecycle of a component in an Agile environment and uses cloud services to ship to production. Best for a junior full-stack/web engineer interested in autonomous-trucking cloud apps.

Summary

A technical-lead AI engineering role delivering AI-powered solutions across internal tooling, customer-facing features, and the supporting data/ML infrastructure, working alongside data scientists and full-stack engineers. The emphasis is hands-on delivery, system reliability, and mentoring rather than pure research; based in Ann Arbor (Arizona locations also listed).

Summary

A CPQ lead solution engineer role at Thomson Reuters working with Salesforce, Conga CPQ and PROS, in Eagan, MN. A configure-price-quote (CPQ) platform-engineering specialty.

Summary

This is a systems software engineering role on Woven by Toyota's Arene platform, developing and integrating system-level software and embedded firmware in C++ for real-time automotive systems. Work centers on middleware, inter-process communication frameworks, and scheduling that bridge multiple in-vehicle domains, plus authoring system design specifications (state machines, sequence diagrams) and testable requirements. It suits engineers with strong systems-programming and platform-integration expertise.

Summary

Despite the Application Engineer title, this is a hardware and embedded firmware engineering role that designs the hardware integration layer between Utilidata's Karman platform and customer infrastructure, covering PCB-level design, schematics, FPGA/RTL, signal integrity, thermal and RFI considerations, and SOM bring-up. It also involves writing and debugging embedded firmware to adapt the platform to each customer's hardware, along with customer-facing design reviews and on-site visits. It calls for roughly six-plus years of hands-on hardware and firmware experience and an electrical engineering background; the position is on-site in Ann Arbor.

Summary

Remote sensing software development converting algorithm prototypes for synthetic aperture radar, electro-optical, and low observable sensing into robust production applications, working directly with radar and research scientists on image quality. Open to engineers, signals analysts, and physicists, including those with military electronic warfare or signals processing backgrounds. Requires an active TS/SCI clearance.

Summary

Field autonomy engineering role providing hands-on, on-site support for launching new autonomous vehicle fleet deployments, including scouting locations, configuring and deploying the autonomy technology, running customer demonstrations, and mentoring junior field engineers. It spans the full system from the hardware platform to the software autonomy stack, requires working knowledge of C, C++, or Python and Linux, and involves up to 50% travel plus a valid US driver license and clean driving record.

Summary

A software engineer role at CACI developing algorithms and software for synthetic-aperture radar and remote-sensing capabilities, in Ypsilanti MI, Chantilly VA or Denver CO. Space/remote-sensing software, open to aspiring engineers and physicists; clearance almost certainly required.

Summary

Builds resource-constrained edge software that runs on power-grid devices — precision telemetry collection, real-time control interfaces, and system observability in Python with lower-level work in Rust and C/C++ on Linux, including device-layer security (PKI, secure boot, drivers) and CI/CD tuned for embedded deployment in intermittently connected environments. Suits an experienced engineer (5+ years) comfortable with distributed microservices and binary/gRPC/MQTT protocols; NVIDIA Jetson ML deployment is a plus. Tagged to Ann Arbor.

Summary

An entry-level software/simulation engineer role at FAAC Incorporated joining the engineering team to become proficient with FAAC's air-warfare simulation technology: learning the company's software-development procedures, modeling techniques and coding practices, then performing analysis, modeling, programming, test-plan execution, discrepancy investigation and technical writing on assigned tasks with frequent supervision. It is a learning-oriented junior position; Ann Arbor.

Summary

Quantum software engineer at an early-stage quantum computing startup, implementing and optimizing quantum circuits for hardware execution, building compilation and transpilation tooling, and profiling circuit performance in close collaboration with research and hardware teams. Requires an MS in a relevant field, hands-on Qiskit/PennyLane/Cirq experience, and strong C++/Python systems engineering skills. Visa sponsorship available; Ann Arbor, MI base.

Summary

A senior ML engineer on Torc Robotics' Auto Tagger effort architecting distributed data pipelines that mine massive multi-sensor logs (camera, lidar, radar, kinematics) to automatically extract and catalog safety-critical driving events. The role develops heuristic and ML-assisted tagging (including vision-language models and semantic search) and structures scenario data for ML training and validation. Best for a senior ML/data engineer interested in scenario mining at scale.

Summary

A lead infrastructure engineer role at Clarivate / ProQuest focused on Microsoft Purview, splittable across Philadelphia, Ann Arbor, and Kansas City. M365 data-governance and compliance engineering — DLP, sensitivity labeling, retention, investigations — for a Purview specialist rather than a generalist infrastructure engineer.

Summary

Software development for remote sensing — converting algorithm prototypes for synthetic aperture radar, electro-optical, and low-observable sensing into robust applications while collaborating with the research scientists who invented the techniques. Open to early-career candidates, including those still completing a degree; requires US citizenship and willingness to obtain a Top Secret clearance, with processing before start.

Summary

Application development on a cloud-based image generation and exploitation platform — working on an agile scrum team alongside system engineers and image scientists to build customer-specific solutions and internal tools in Java, C++, and JavaScript. No clearance is needed to start, but US citizenship with the ability to obtain and maintain a TS/SCI is required.

Summary

Remote sensing software development — converting synthetic aperture radar, electro-optical, and other algorithm prototypes into robust applications in collaboration with research scientists. No clearance is required to start, but candidates must be US citizens willing and able to obtain a TS/SCI clearance. Open to candidates still completing a degree, with experience or military signals background accepted in lieu of one.

Summary

Business intelligence and analytics engineering on the Technology Operations team at an autonomous trucking company, building the data models, KPIs, and dashboards leadership uses to track production ramp and cost reduction. Day to day means SQL and Python against databases, spreadsheets, and data lakes, building automation and low-latency reporting, and publishing dashboards in Tableau or a comparable BI framework. The posting expects comfort starting from ill-defined datasets and gathering requirements directly from stakeholders.

Summary

Systems engineering on a radar and sensor technologies program for the US Government — converting algorithm prototypes into robust software applications, defining requirements for the software staff, shaping the testing approach, and collaborating with radar/electro-optical scientists on image product quality. Requires US citizenship, an active Top Secret clearance, and full-time on-site work.

Summary

Mid-level product development delivering small-to-moderate features end to end in C#/.NET with TypeScript and React, including SQL troubleshooting, performance profiling, and production defect triage. Salary is stated at $90,000–$112,000 plus an annual bonus program and 401(k) matching; GIS and large-dataset experience are pluses. For a developer with about three years of experience ready to grow ownership of modules over time.

Summary

A principal data engineering role at Utilidata, an NVIDIA-backed AI company applying AI to electric grid infrastructure and data center power orchestration. The role owns technical direction and execution for the data platform -- ingestion pipelines, transformation frameworks, data models, and orchestration -- while partnering closely with data science and the broader platform architect. This is a high-autonomy individual contributor leadership position at a Series-stage company with real infrastructure complexity.

Summary

Backend engineering on the Adversary Investigation module of an internet-intelligence platform — architecting resilient Go microservices and APIs that deliver security intelligence to SOC and threat-hunting users. Full-lifecycle ownership is the norm, from build automation through deployment and monitoring, with 5+ years building distributed web systems and at least two in Go expected. Listed pay is $151k–$192k for most US locations ($173k–$206k in the highest-cost metros) plus bonus and equity; for a product-minded backend engineer drawn to security tooling.

Summary

A solutions-architect role at Clarivate / ProQuest leading the architecture for a multi-million-dollar Coupa Source-to-Pay program, splittable between Ann Arbor, Kansas City, and Philadelphia. Coupa S2P enterprise-applications architecture across Oracle EBS, Vertex, OneSource, and NetSuite — for an architect with deep Coupa platform expertise.

Summary

Despite the 'Event Detection and Response' name, this is autonomous-vehicle safety and field-data engineering, not security operations. The engineer designs and maintains event detectors that surface safety-relevant and performance-degrading behaviors from vehicle log data, then partners with data-engineering and simulation teams to feed those detections into regression suites and simulation scenarios for faster root-cause analysis. Requires 3-5 years of automotive or robotics engineering including autonomous-driving systems, and hands-on rule/signal-based detector writing against structured logs.

Summary

A senior architect role owning KLA's large-scale HPC storage and compute platforms end-to-end, from architectural definition through production — high-availability, high-performance Linux infrastructure at scale. It is deep infrastructure-software ownership and architectural decision-making for live production HPC environments, on-site in Ann Arbor.

Summary

Despite the ML Engineer title, this is a hands-on C++ software engineering role building the SDK and framework that composes and executes applications for Torc's self-driving Class 8 trucks. The small team owns the safety-critical application layer, so work centers on determinism, type safety, concurrency, CUDA, and telemetry, plus resolving field issues from internal feature teams. It requires a genuine love of object-oriented C++ and Linux, with roughly 5+ years of experience.

Summary

A lead machine-learning role designing and training large-scale models for autonomous-driving, simulation, and ML-platform work, specializing in Vision-Language-Action, generative world, and foundation models at petabyte data scale. Beyond individual research, the engineer leads a small cross-functional team of 2-3 engineers and defines data-balance, training, and evaluation practices. Requires a master's degree, 4+ years of commercial robotics experience, and prior mentoring of ML engineers.

Summary

On-vehicle autonomy software engineering: training, integrating, and testing machine-learning models that run on the vehicle, then optimizing them for reliability and low latency. A large part of the job is field-facing, coordinating on-vehicle tests, diagnosing issues surfaced through the field-response process, and building tools for support engineers to analyze behavior and control performance from field data. Requires 2+ years of commercial robotics-software experience.

Summary

Software role on the Torc team that calibrates and configures the sensor stack on its autonomous trucks, covering cameras, lidar, radar and IMU on both real vehicles and hardware-in-the-loop rigs. The work is owning the design of a scalable C++ calibration pipeline for real-time and offline use, building libraries for sensor-to-sensor extrinsic calibration from targetless detections, and maintaining simulation tools and data pipelines for sensor modeling, calibration validation and large-scale regression. It leans heavily on applied linear algebra, including Lie groups, quaternions and 3D transformations.

Summary

A senior machine learning engineer at Torc Robotics developing and scaling end-to-end learning-based systems that connect multi-modal perception inputs to driving behavior for autonomous trucks. The role works across perception, prediction, and planning on unified learning pipelines for safe, human-like autonomy. Best for a senior ML engineer with end-to-end or multi-modal model experience.

Summary

Functional-safety architect defining and owning the end-to-end safety architecture for a Level 4 autonomous driving system, translating hazard analyses into system-level design and allocating safety requirements across perception, prediction, planning, and control. The role combines functional safety frameworks (UL 4600, ISO 26262, and SOTIF/AI safety) with AI/ML-specific mitigations such as runtime monitors and safe fallback behaviors, and owns safety work products including HARA, FMEA, FTA, and the safety case.

Summary

An engineering-executive role at a document-generation and e-signature software company: owning delivery execution, quality, and people leadership for a global engineering organization that includes an offshore team in India, while partnering with the CTO to turn technical strategy into roadmaps. The position stays hands-on in architecture and feature development, and deep Salesforce platform knowledge — both declarative and programmatic — is called out for the ideal candidate. For a delivery-focused engineering leader with Salesforce-ecosystem depth and distributed-team experience.

Summary

Lead backend engineer on the CoCounsel for Tax and Accounting team, formed from the Materia acquisition, owning Python/FastAPI services and the orchestration that powers generative AI agents for accounting research, tax filing, tax advisory, and audit workflows. Strong hands-on Python backend and system design experience is the core requirement; this is a hybrid role and the interview process may include onsite rounds.

Summary

A distributed-systems engineer role at Censys building scalable services, APIs, and tooling for the company's internet-wide-scanning data platform, Remote within the United States. Backend engineering on the Ann-Arbor-HQ security firm's threat-intelligence infrastructure.

Summary

Technical anchor for the ingestion and indexing side of Thomson Reuters search platform: owning a Kafka-based pipeline that parses, chunks, enriches, embeds, and indexes millions of legal and tax documents, and leading a migration from OpenSearch to Vespa. Full ownership from design through operations, with Protobuf schema governance and custom model lifecycle work in scope; AI-assisted development is the stated team norm.

Summary

Despite the generic title, this is a systems-engineering role for autonomous vehicles — owning requirements decomposition, verification and validation planning, FMEA, and operational design domain definition rather than software development. It serves as the systems engineering point of contact for Japan-market projects, translating Japan-specific regulatory and safety requirements and coordinating with the local Japan team; automotive and autonomous-driving experience is required.

Summary

Senior Python backend engineer productionizing AI features on the Materia-driven platform: FastAPI and PostgreSQL services, LLM provider integrations with OpenAI and Anthropic, orchestration safeguards, and observability for high-traffic APIs. Expects seven-plus years of backend experience; the team runs a hybrid model with two to three days a week in the office.

Summary

Senior professional-services architecture role at a spend-management software vendor, acting as the accountable design lead on large customer implementations and integrations into procurement, supply chain and AP automation systems. It also involves running architectural design reviews over internal and partner delivery teams, building standardized procedures, templates and enablement for the consulting organization, and coaching consultants. Hands-on Coupa implementation experience is mandatory, alongside 15 or more years in procure-to-pay or source-to-contract work and deep procurement and finance process knowledge.

Summary

A senior machine learning engineer at Torc Robotics developing and deploying learned-planner and reinforcement-learning models that drive decision-making for autonomous trucks. The role works across perception, prediction, planning, and safety to build learned behavior systems for safe, efficient, human-like driving. Best for a senior ML engineer focused on planning and reinforcement learning in autonomy.

Summary

An embedded software engineer (level II) at Torc Robotics working on Linux kernel modules, integrating a Linux distribution into the build and deployment toolchain, and doing system-level debugging and performance tuning for embedded applications. The role spans automation tooling, package builds, and real-time optimization across DevOps, QA, and hardware teams. Best for an embedded Linux/OS engineer.

Summary

A senior software engineer on Torc Robotics' release pipelines team automating the build, packaging, and release-candidacy workflows that tie individual software components and a layered embedded OS into a cohesive, reproducible release. The work uses Temporal for complex workflow automation, Bazel and BuildStream for high-speed builds, and integrations with requirements and hardware test systems. Best for a senior build/release/DevOps engineer.

Summary

A firmware engineering lead on KLA's growing Ann Arbor Electronics Engineering team, defining requirements and specifications and driving firmware design for the semiconductor inspection equipment KLA builds. It is embedded firmware work with room to grow into strategy and team influence, on-site in Ann Arbor.

Summary

Release engineering role for May Mobility's autonomous-vehicle software, sitting at the intersection of CI/CD release execution, autonomy-system integration and debugging, and validation, simulation, and safety gating. The engineer owns autonomy releases end-to-end, works across sensor hardware, middleware, the autonomy stack, networking, and compute platforms, and is expected to challenge release readiness as a safeguard for system quality rather than just run a process. Based in Ann Arbor and reporting to the Sr. Manager of Autonomy Technical Release.

Summary

A C++ software engineer (level II) at Torc Robotics developing high-performance applications for real-time embedded systems that power system monitoring and fault handling, plus the communication layer between the autonomous driver and the base vehicle platform. The role owns the full development lifecycle and helps mentor junior developers. Best for an embedded C++ engineer who wants real-time autonomy work.

Summary

A staff systems engineer at Torc Robotics defining how its Level 4 autonomous truck software is verified, validated, and released safely. The role provides strategic leadership over the testing and release workflow, monitoring and qualifying it across the product development lifecycle. Best for a staff-level systems/validation engineer who wants to own release strategy for safety-critical autonomy software.

Summary

Senior product engineering with full-lifecycle ownership — designing and delivering complex features in C#/.NET, TypeScript/React, and SQL, acting as primary owner of services including code health and operational readiness, and mentoring other engineers. The employer works with big data and cloud-based solutions, and GIS experience (ESRI, Google Maps, Mapnik) is a stated plus. For an engineer with six-plus years who wants real ownership on a close-knit team.

Summary

A senior software engineering role on the Simulation Environments team building cloud-based simulation services for testing autonomous-truck driver-stack software at scale. The work uses Python and C++ on Linux with AWS managed services and Terraform infrastructure-as-code, covering the full lifecycle from design through deployment and monitoring. Includes an on-call rotation, typically one week per team member, to support production systems.

Summary

A roughly 90-day software engineering internship in Ypsilanti, Michigan, starting around mid-May, working on remote-sensing products for government customers. Expects a programming background in Java, C++, JavaScript, or similar, and requires U.S. citizenship with the ability to acquire a Top Secret clearance. A fit for a student who wants exposure to synthetic aperture radar and defense-sector engineering.

Summary

Release engineering role for autonomous vehicles at May Mobility, owning CI/CD and release execution across the autonomy software stack while integrating and debugging the system and enforcing validation and safety gating. Builds tooling for release readiness and drives go/no-go decisions, sitting at the intersection of release engineering and autonomy-system integration.

Summary

Systems engineering on a U.S. government program — defining requirements for the software staff, adapting architecture to program needs, shaping the testing approach, and coordinating across program teams through the development cycle. Based in Ypsilanti, Michigan or Chantilly, Virginia, and requires a U.S. citizen already holding a TS/SCI clearance. Open to varying experience levels.

Summary

Development of algorithms and software for remote sensing — synthetic aperture radar, low observables, electro-optical — on space-focused emerging technology programs. The posting welcomes engineers, signals analysts, and physicists from entry to senior level, but an active TS/SCI U.S. government security clearance is required to start. Suited to someone who wants to learn these sensing capabilities directly from the experts who patented them.

Summary

Algorithm and software development for remote-sensing capabilities — synthetic aperture radar, low observables, and electro-optical sensing — within a space emerging-technology group. Unlike the company's cleared postings, this one requires U.S. citizenship with willingness and ability to obtain a TS/SCI clearance rather than holding one already. Open to applicants from entry level through senior.

Summary

This is a firmware/hardware engineering role on Woven by Toyota's Arene test-rig team, designing SystemVerilog HDL and FPGA implementations for automotive test equipment and developing the drivers, libraries, and reference applications that interact with it. It supports a shift-left approach of emulating vehicle computer hardware so automotive software can be validated earlier. The role expects an electrical engineering background and is based in Ann Arbor.

Summary

A senior ML engineer on Torc Robotics' offline perception team designing, implementing, and deploying offline object detection, tracking, and fusion modules that automatically annotate logged camera, lidar, and radar data in the cloud. The role also serves as a project lead and owns data preparation, curation, and governance for large sensor datasets. Best for a perception ML engineer who wants autonomous-driving annotation and data-pipeline work.

Summary

Senior DevSecOps work on a cleared defense program — taking a complex software application into operations with Kubernetes, containerization, automated testing, and deployment pipelines. Per the title, an active TS/SCI clearance with CI polygraph is required; relocation benefits and flexible scheduling within the pay period are offered. Best for a self-starting engineer who can join a cleared team and produce quickly.

Summary

A full-stack software engineering role building internal tools and a new operating system for the engineering, construction, and operation of mineral-processing facilities. Work spans production frontend and backend/distributed systems, complex integrations with engineering tools such as Autodesk, and collaboration with ML engineers to embed LLM-powered features.

Summary

A backend software engineering role building and operating large-scale web services and backend architecture across DoorDash product and platform teams, including work on migrating a monolithic codebase to microservices. Calls for 2+ years with backend stacks, SQL and NoSQL databases (Postgres, Redis, Elasticsearch, RabbitMQ), and proficiency using AI coding tools throughout the development lifecycle. Hybrid with some in-office time.

Summary

A software engineer role at Hyundai's America Technical Center building the core infrastructure and UI for automotive simulation tools, using MATLAB/Simulink, Python, and ReactJS, plus HPC deployment and version control. It is genuine software and tooling development for powertrain simulation (with some AI/ML exploration) bridging software and automotive engineering. On-site near Ann Arbor; up to 15% travel.

Summary

A data-analytics engineer role at Hyundai's America Technical Center analyzing CAN and XCP vehicle telemetry from instrumented test fleets to validate engine-management and on-board-diagnostics (OBD) systems for emissions durability. The work is multivariate time-series analysis and predictive modeling in Python or MATLAB applied to automotive powertrain validation, an analytics role embedded in vehicle engineering rather than application development. On-site near Ann Arbor (Superior Township, MI).

Summary

An operations and transformation analyst role at Hyundai's America Technical Center in Superior Township, MI (near Ann Arbor), acting as a builder and chief-of-staff for the R&D organization through project management, process improvement, and administering Jira and Notion as the platform and knowledge-management owner. Despite the software classification this is largely operations, project, and platform-administration work rather than engineering. On-site near Ann Arbor; automotive experience preferred.

Summary

A senior full-stack engineer role at startup Mountain Pass Solutions, positioned as a bridge technical leader: hands-on building and shipping features end-to-end, modernizing a Python/JavaScript codebase without halting delivery, leaning on AI tools (Claude, code assistants) to speed development, handling light Ubuntu/Postgres DevOps, and mentoring while setting the technical foundation for a larger post-funding team. It wants 7+ years in Python plus modern JS, with a path to Head of Engineering; Ann Arbor.

Summary

Hands-on technical lead and solutions architect at a custom web, mobile and AI application development firm, leading a global team across multiple concurrent client projects. The role pairs architecture and technical specification work with actual development, and requires regular client contact including articulating ideas to C-level executives while still holding a technical discussion with the development team. Breadth across the listed stacks matters more than depth in each; based in Ann Arbor and reporting to the CTO.

Summary

In-house full stack development at an Ann Arbor software consultancy, building enterprise web and desktop applications for internal and external clients. The posting asks for at least three years across C# .NET, Java, PHP and Angular or React, plus SQL Server database design and working knowledge of security, messaging and database interoperation. Developing and executing test plans within a test and release cycle is part of the job; the position is full-time salaried and reports to the Engineering Director.

Summary

DevOps and cloud engineering role at a software consultancy based in Ann Arbor, MI. The captured posting body is largely website boilerplate, so responsibilities and target cloud platforms are not detailed beyond the title.

Summary

A senior AI infrastructure engineer at Utilidata, responsible for designing and operating GPU-based AI inference infrastructure that serves ML models deployed on edge hardware in electric utility environments — the company builds AI systems that run on smart meters and grid equipment. The posted salary range is $170,000-$210,000; the role is fully remote. Hands-on experience with model serving frameworks (vLLM, Triton, TensorRT) and Kubernetes is required; background in energy, utilities, or industrial IoT is a noted plus.

Summary

A Windows/Visual C++ software engineer role focused on 3D vision and industrial-robotics integration — implementing process-control features that adapt material flow from inspection results and building interfaces to robots from Fanuc, ABB, Yaskawa, Kawasaki, and Kuka. Requires 3+ years of Visual C++, strong 3D math/computational geometry, and machine-vision/automation experience. This is real-time machine-vision software, not web/cloud development. Based in Ann Arbor, MI.

Summary

A senior dispensing-systems engineering role integrating 3D vision and Coherix Adaptive Process Control into customer manufacturing applications — heavily hands-on with robot programming (Fanuc Karel, Kawasaki AS) and solution testing rather than software product development. Includes pre-sales support and demos, and requires up to 50% domestic and global travel for on-site customer installations. Based in Ann Arbor, MI.

Summary

An FPGA hardware-design engineer role creating, testing, and maintaining custom digital circuitry in Verilog/SystemVerilog on Xilinx FPGAs and SoCs, and maintaining the existing FPGA codebase. Requires 2-4 years of experience and a bachelor's in engineering or mathematics; embedded processor design, C, and CMOS imager experience are pluses. This is low-level hardware/RTL work, not software application development. Based in Ann Arbor, MI.

Summary

A manufacturing-automation application engineer role, not conventional software development — you program industrial and collaborative robots, simulate manufacturing processes for in-house testing, and perform data analysis on installed equipment. Requires a bachelor's in engineering, 3 years of experience, PLC programming and coding, SolidWorks/Pro-Active knowledge, and willingness to travel internationally and domestically on short notice. Based in Ann Arbor, MI.