Open Portland, OR software jobs

Summary

Build AI/ML-infused software tools and automation for Intel's advanced packaging and silicon-enablement engineering teams: data-driven automation, predictive features, and workflow optimization, owned end to end from architecture through deployment in a research-driven environment. A software-developer role whose domain happens to be semiconductor engineering productivity.

Summary

A technical program-management role embedded in Hydrolix's Site Reliability Engineering organization — not a hands-on engineering job. It owns coordination and process across SRE programs: incident-management cadence, post-incident review quality, on-call health metrics, release and feature-readiness coordination, and cross-team dependency tracking. Requires 5+ years of technical program management and comfort working alongside engineers (SLOs, incident lifecycle, release pipelines) without needing to write code; PMP is a plus.

Summary

A research-engineering role on agentic AI: building agent harnesses (context engineering, memory, tools), post-training pipelines, RL environments and reward models, and multi-GPU training runs that make small local models work as agent backends. Carries Intel's evergreen-posting caveat — the role may not be open at the moment you apply.

Summary

Core product engineering on an agent framework: build the agent loop itself — planning, tool and function calling, file/terminal execution, context management, memory, scheduling, and observability — model-agnostic across local and cloud LLMs. An SRE squad owns production, so you build the harness without carrying the pager. Carries Intel's evergreen-posting caveat: the opening may not be live when you apply.

Summary

The title says software development, but this is a Level 2 database and data-loader support role for fab manufacturing systems: troubleshooting SQL Server/Oracle-class databases, monitoring, and incident management. It is an Intel Contract Employee position on a compressed 12-hour factory shift (Thursday through Saturday plus every other Wednesday, 6am-6pm), on-site in Hillsboro, and not eligible for immigration sponsorship.

Summary

A backend software engineering role delivering and maintaining application systems — programming, debugging, deployment, testing, and database design — on Cambia's Software Development Engineering team. It spans levels II through IV (roughly three to eight years of experience), so it is open to mid-level as well as more senior backend developers. Remote and distributed work with TDD/BDD, CI/CD, and secure-coding (OWASP) practices; the domain is healthcare-payer systems.

Summary

Low-level firmware work on x86 processors: designing, implementing, and optimizing the microcode that executes instructions on Intel's next-generation CPU cores, in partnership with processor architects. Sits closer to firmware and computer architecture than to application software. Requires a bachelor's in computer/electrical engineering or CS with 3+ years of experience (or a master's).

Summary

A functional SAP consultant role, not a developer one: configuring SAP Materials Management and Production Planning (requisitions, MRP, inventory, process orders) for Intel's planning organization, with testing, troubleshooting, and business-process redesign. Wants 6+ years including end-to-end ERP implementations; S/4 HANA and Blue Yonder integration experience preferred. Not eligible for immigration sponsorship.

Summary

Work on Intel's LLVM-based compiler stack — C, C++, SYCL, and Fortran — building optimizations, supporting new processor features, and contributing upstream to Clang and the open-source LLVM community. Requires 3+ years each of C/C++ and LLVM compiler internals plus open-source contribution experience; parallelization, vectorization, and GPU offload models (OpenMP, SYCL, CUDA) are the daily subject matter. Santa Clara primary; Hillsboro is an alternate site.

Summary

A general full-lifecycle software engineering role on Cambia's Software Development Engineering team — programming, debugging, building, deploying, testing, and documenting application systems, including database design. It is posted across levels (III at roughly five years up to Senior at roughly ten years), so the seniority is open-ended. The team works remote and distributed with TDD/BDD practices, and the healthcare-payer context shapes the applications.

Summary

A very senior validation-strategy role: define system-level validation across performance, power, and thermal domains, then transform how it is done by building GenAI/agentic-AI-powered test generation, coverage modeling, and automation frameworks. Requires 15+ years in silicon, platform, or system validation plus hands-on Python and LLM-workflow experience.

Summary

Chip-design-automation software: develop and debug the PERC ESD/latch-up rule decks and verification flows in Intel's process design kits, defining QA automation and partnering with EDA vendors on new tool features. Requires a master's or PhD in EE/CE, 3+ years in physical design verification, and scripting (Python, Tcl, Perl) for flow automation.

Summary

A full-stack line-of-business developer role for Intel Foundry manufacturing systems: React front ends, C# services, and Postgres SQL, with unit testing and secure-code practices for mission-critical factory software. It is an Intel Contract Employee position (not regular full-time), not eligible for immigration sponsorship or relocation assistance. Hillsboro, Phoenix, or Folsom.

Summary

This embedded-engineering role at Daimler Truck is really a model-based controls position: developing vehicle-level energy-management strategies for battery-electric trucks across modeling, simulation (MiL, SiL, HiL), embedded implementation, and in-vehicle validation. It leans toward control-systems and BEV-powertrain expertise (Mathworks toolchain, production-intent control strategies) with an Electrical, Mechatronics, Mechanical, or Computer Science background, rather than general application software. Based at DTNA's Portland (Swan Island) operations; posted salary range is $117,000 to $150,000.

Summary

A generalist software engineering role at ConductorOne building its horizontal identity and access platform, where engineers own projects end-to-end — data model, API, UI, rollout, and customer contact — rather than sitting in a narrow frontend or backend lane. The bar is explicitly senior: you should have built and operated real production systems and be able to work independently across the stack. Deep experience in identity, security, or distributed systems is a plus, and the team expects daily use of AI coding tools.

Summary

Despite the software-engineer title, this is multi-platform infrastructure operations: deploying, patching, hardening, and troubleshooting Windows Server 2022 and RHEL 8/9 environments for Intel Foundry automation, with PowerShell/Python/Bash scripting, Active Directory, and security tooling. Suits a senior sysadmin/infrastructure engineer rather than an application developer.

Summary

Another of Cambia's general software development engineering openings, this one levels III to V (roughly five to ten years), covering the full build-test-deploy lifecycle plus database design. The preferred stack is concrete here: C#/.NET, Python, SQL Server and SSIS, stored procedures, cloud (AWS/Glue), Java, and AI integrations. Remote and distributed team with TDD/BDD and CI/CD practices in a healthcare-payer context.

Summary

This Nike software engineer opening is a legacy-application and Product Lifecycle Management (PLM) role for the retail, apparel, and footwear domain — supporting and modernizing PowerBuilder applications (including Appeon-based migration) and configuring FlexPLM and Centric PLM systems. Work includes custom modules, workflows, data-model extensions, and integrations, with some exposure to enabling ML-driven analytics on top. It requires a Master's plus one year and specialized PLM/PowerBuilder experience, so it is a niche enterprise-systems role rather than mainstream software development.

Summary

A senior C++ engineering role at Hydrolix, a cloud data-platform startup, writing modern C++ (C++23) for large-scale, high-throughput data processing — stream processing, multithreading, indexing, and compression at the database-internals level. The work is genuinely low-level and performance-focused: query optimizers, execution and storage engines, network and socket programming, and distributed-systems concerns. It suits an experienced systems programmer comfortable in large, complex codebases, not a web or application generalist.

Summary

Optimize local and edge LLM inference engines — llama.cpp and vLLM on integrated GPUs and Vulkan back ends, not datacenter H100s: KV-cache tuning, continuous batching, quantization (GGUF/AWQ/GPTQ), and CPU-overhead reduction, with fixes upstreamed to the open-source engines. Note Intel's own caveat: this is an evergreen pipeline posting and may not be open at the moment you apply.

Summary

Despite the software tag, this is an internal-IT infrastructure role on Airship's Internal Systems team — a blend of systems administration and engineering across cloud and on-prem environments, enterprise SaaS integration, identity and access (SSO, MFA), and backup and disaster recovery. Day-to-day work is hands-on: patching servers, automating workflows via APIs and scripting (Python, PowerShell), and mentoring the IT team. Expect an on-call rotation for IT and Security incidents; it suits a systems engineer with 2+ years managing Mac, Windows, and Linux fleets rather than a product developer.

Summary

Lead pre- and post-silicon integration and validation of firmware for IPs and custom modules in Intel SoCs: validation plans for power, telemetry, interrupts, memory management, and RAS, plus the test benches and automation behind them, with real embedded C/C++/SystemC development and mentoring. Requires 6+ years with a bachelor's (less with an advanced degree) and firmware debugging depth.

Summary

A senior platform-engineering role (10 to 12 years of experience) building and operating cloud infrastructure at scale on AWS and/or Azure with a reliability-engineering emphasis — Infrastructure-as-Code (Terraform, Ansible), CI/CD tooling, observability, and incident leadership. The role is pitched as a modernization catalyst: defining platform standards and reference architectures and championing responsible automation across teams. AWS certifications are recommended but not required, and it leans senior/lead rather than early-career.

Summary

Computational lithography R&D at the design/process boundary: developing resolution-enhancement techniques, design rules, and design-technology co-optimization for Intel Foundry's most advanced nodes, using predictive modeling, statistics, and machine learning over fab process data. Wants 3+ years in semiconductor physical design or patterning — as much silicon-process science as software.

Summary

Research-grade software engineering in Intel's quantum computing program: designing and implementing quantum error correction protocols and the software that runs them within Intel's silicon spin-qubit hardware constraints. Requires a PhD in physics, CS, or computer engineering plus hands-on QEC protocol design experience. Posted range for US candidates: $149,600-$284,580.

Summary

A solutions-architecture role focused on untangling and modernizing a complex, heavily customized legacy environment spanning Finance, Legal, Compliance, Imaging, Archiving, Middleware, and integrations — described bluntly as forensic rather than greenfield. Strong integration-architecture command is required (REST and event-driven APIs, managed file transfer, EDI/X12, streaming with Kafka) across ERP/EPM and SaaS ecosystems. It expects roughly seven years of IT experience with technical-leadership and architecture time; health-insurance domain knowledge is preferred.

Summary

Build and maintain the transistor-level electromigration and IR-drop analysis flows Intel Foundry uses to sign off custom IP, embedded memories, and analog/mixed-signal macros — CAD methodology, automation infrastructure, and power-integrity tooling (Redhawk/Totem) rather than circuit design itself. Wants 6+ years (less with an advanced degree), EM/IR reliability depth, and Linux scripting/automation skills.

Summary

Silicon architecture, not software: own the end-to-end network subsystem architecture for Intel's IPU/DPU platforms — packet-processing pipelines at hundreds of millions of packets per second, protocol engines, QoS and scheduling frameworks, and observability features — driving architecture closure across hardware, software, and customer teams.

Summary

A compiler-backend role on the Microsoft Visual C++ toolchain for Intel architecture: optimizer and code-generation work, benchmark-driven performance tuning for current and future Intel platforms, and mentoring junior engineers. Wants 5+ years across backend design, LLVM/GCC-style frameworks, and C/C++; x86 ISA depth (AVX, AMX) is preferred. Hillsboro-based with Folsom as an alternate.

Summary

Applied math and optimization for Intel's factories and supply chain: building simulation and optimization models (linear, integer, and constraint programming) for fab scheduling and supply-network operations. Daily tooling is C# plus commercial solvers like CPLEX and Gurobi over SQL Server; requires a master's in operations research or a related discipline. Phoenix primary; Hillsboro is an alternate site.

Summary

A business-facing data architect on Intel's corporate-planning data and analytics team: in-depth data analysis, prototyping data and reporting solutions, developing reports and certified datasets, and driving data quality and governance — handing vetted requirements to IT rather than building production systems yourself. Expect ambiguity: the team is mid-transition to Blue Yonder and SAP S/4 over the next several years.

Summary

Principal-level architecture of integrated AI systems spanning silicon, boards, firmware, and software, with reinforcement learning, computer vision, simulation, and robotics in scope — translating business use cases into product specs and mentoring senior engineers along the way. Requires 12+ years with a bachelor's (8+ with a master's, 6+ with a PhD) in AI systems work.

Summary

Read past the software classification: this is platform hardware architecture for Intel's IPU/DPU/NIC adapter cards — board-level design (PCIe topology, retimers, clocking, SPI/I2C/SMBus), manageability interconnects, secure boot hooks, and OEM integration at the intersection of SoC, board, and platform firmware. Suits a systems/hardware platform architect far more than a software developer.

Summary

A customer-facing debug role for Intel's IPU networking products: leading real-time triage of complex silicon/firmware/driver/system issues in customer environments, reproducing field failures in the lab, and driving root cause across teams. Wants 5+ years of system-level HW/FW/SW debug with networking and Linux depth; more escalation engineering than feature development.

Summary

Define SoC-level power-management architecture for next-generation client and AI platforms: performance/efficiency/thermal trade-offs, power integration across IP blocks, and post-silicon power data analysis from concept through high-volume manufacturing. A silicon-architecture role with hardware/software co-design collaboration, not a software-development position.

Summary

A senior DevOps and infrastructure role at Eclypsium (a firmware and hardware-security company) owning CI/CD pipelines and cloud infrastructure on Google Cloud Platform — automation, monitoring and observability, containerization (Docker, Kubernetes), and incident response. Strong Python or Bash scripting and configuration management (Ansible, Chef, Puppet) are required, along with 5+ years in DevOps. Familiarity with cybersecurity tooling and SRE practices is a plus given the security-product context.

Summary

Though listed as an SDE III, this is a data-governance platform engineering role built entirely around Snowflake: designing and maintaining the access and provisioning framework, automated tagging and classification, data metric functions, the Horizon catalog, and data lineage for a healthcare-data environment. It is hands-on data engineering (strong SQL, stored procedures, ELT/ETL) with deep Snowflake governance expertise, not general application development. Requires about five years of relevant experience; healthcare data background and dbt are pluses.

Summary

An AI-engineering role at OpenSesame building internal automation and production-grade Retrieval-Augmented Generation (RAG) systems that support the company's own business operations, not the customer-facing product. The work is pragmatic building — system integrations, scripting, reusable automation components, and custom AI agents — while establishing engineering rigor (TDD, CI/CD, infrastructure-as-code with Terraform, monitoring). Success depends on partnering with non-engineering AI Champions across Sales, Marketing, and Finance to make automation self-serve.

Summary

A hands-on technical-lead role at OpenSesame owning the Data Governance and Accessibility program — designing scalable data architecture, improving pipeline reliability, and building an AI-ready data platform (ingestion patterns, governance controls, metadata management, lineage). It combines direct engineering with leading and mentoring a small (two-person) data-engineering team and setting company-wide data standards. It suits a senior data engineer ready to balance architecture and delivery with people leadership.

Summary

A machine-learning engineering role at Nike (Beaverton) building the systems that put ML into production — profiling and preparing data, applying ML and collaborative-filtering methods, tracking model accuracy, and building the APIs and libraries that support model adoption. The required stack is ML-heavy: Databricks, Apache Spark, TensorFlow/PyTorch, Python/SQL/C++, lakehouse architecture, and LLM/GenAI/RAG. Note it requires a Master's degree plus two years of experience, and telecommuting is available from most (but not all) US states.

Summary

A data-engineering role at Nike focused on Supply Chain, Consumer, and Marketplace data products — designing integration pipelines that connect warehouse-management, inventory, and catalog systems into platforms like Databricks, with automated ingest, transform, and validate workflows, change data capture, and data governance and lineage. It also integrates AI-powered analytics into collaboration tools. This is scalable data-and-analytics engineering rather than application development; Beaverton-based with telecommuting from most US states.

Summary

The title says architect, but the JD describes a senior cloud application developer: building cloud-native analytics apps on AWS, Google Cloud, and Azure with DevSecOps, web services, HTML/JavaScript front ends, and data pipelines on Databricks, Snowflake, NoSQL, and vector databases for retrieval-augmented AI. Wants 9+ years with a bachelor's (6+ with a master's), including 5+ years each of database/big-data engineering and Lambda-architecture work.

Summary

A genuine software-developer role inside Intel's Logic Technology Development org: building the design-automation tools chip teams use, including web-based interfaces with front ends, back ends, databases, and APIs, plus build/deploy automation and support for Linux EDA infrastructure (Cadence, Cliosoft, Python, CI/CD).

Summary

A senior backend software engineering role at Rapta, an early-stage startup building distributed applied-AI systems for manufacturing and industrial automation. The work is production-grade distributed microservices on Linux — expert Python, gRPC and Protocol Buffers (schema evolution, contract-first design), service mesh, and observability — with 10+ years of distributed-backend experience expected. It explicitly requires fluency with AI-assisted development tools as a daily practice, and candidates local to the Portland metro are considered highly competitive.

Summary

A software-for-hardware role at Rapta owning the layer that connects its AI platform to physical factory equipment — industrial cameras, smart tools, motion stages, and edge GPUs. It is described as a software engineering role first, but the differentiator is fluency with industrial protocols (Modbus TCP, Open Protocol, OPC-UA, GigE and USB3 Vision, RS-232/485, CAN) and building device drivers, hardware abstraction APIs, and hardware-in-the-loop tests. Expert Python plus C#, C++, or Go and 10+ years writing production software that talks to hardware are required.

Summary

This Nike senior software engineer role is really a workforce-management systems engineer position supporting Nike's Legion/Kronos global scheduling solution — maintaining configuration, designing system integrations and source-to-target mappings, building monitoring and alerting, and handling break/fix. The stack centers on Workforce Management (Kronos), AWS, REST services, Python, SQL, Autosys, and managed file transfer rather than greenfield product development. Requires a Bachelor's plus five years of progressive experience; based in Beaverton with telecommuting from most US states.

Summary

Develop and optimize oneCCL, Intel's collective-communications library for large-scale HPC and AI, in support of the Argonne AI Center of Excellence: finding performance bottlenecks in AI workloads at supercomputer scale and implementing the fixes, alongside the teams building Intel SHMEM and Intel MPI. Wants distributed-computing or HPC communication-library experience.

Summary

A solutions-architecture role on Cambia's IT Architecture team designing healthcare-services solutions that support clinical workflows — care management, utilization management, appeals, and member and provider engagement — across web, mobile, integration, and data platforms. Deep health-insurance and healthcare-operations domain knowledge is a hard requirement, alongside API-driven and integration architecture, auth systems (OAuth, SAML, SSO), and HIPAA-compliant design. Posted at architect levels I and II (roughly seven-plus years of IT experience).

Summary

A solutions-architecture role for Cambia's customer-acquisition digital properties — designing end-to-end architecture across front-end frameworks, back-end services, APIs, and cloud infrastructure, plus evaluating third-party digital platforms (CMS, CDN, personalization, analytics). It emphasizes integrating those digital properties with enterprise systems like CRM, CDP, and identity providers. Posted at architect levels I and II with a strong preference for health-insurance domain experience.

Summary

Hands-on C++ development on oneDNN, Intel's open-source deep-learning performance library: designing new features and algorithms, then squeezing inference and training throughput out of Intel CPUs and GPUs via multithreading, vectorization, memory-layout work, and assembly-level tuning. Wants 5+ years of C++ with a strong math or HPC background.

Summary

Architect the firmware, runtime, and performance infrastructure for Intel's neuromorphic (Loihi-lineage) AI stack as it moves from research to product for edge and robotics systems — execution control, scheduling, memory management, profiling, and integration into robotics ecosystems. A hands-on senior architecture role in an incubation team inside Intel's CTO office.

Summary

Lead Intel's AI-based graphics technologies — XeSS super resolution, frame generation, and neural rendering — from model design, datasets, and training through visual quality, performance optimization, and product integration for client GPUs. Requires 12+ years and deep AI/ML-for-real-time-graphics expertise. Hillsboro-based.

Summary

A senior identity-and-access-management security architecture role owning the evolution of both workforce and customer IAM across the enterprise — adaptive MFA, passwordless authentication, and modern identity standards (SAML, WebAuthn, OIDC) plus privileged access management. It is a strategic, thought-leadership position balancing strong security with user experience, not a hands-on build role. Requires 8+ years in IAM and deep identity-standard expertise; health-insurance domain knowledge is preferred.

Summary

A hands-on AI/ML solutions-architecture role that sits between Cambia's Applied AI team and its enterprise architecture practice, shaping company-wide standards for building production AI systems (GenAI, LLMs, RAG, agentic systems) in a regulated healthcare setting. The emphasis is on building consensus through working code and prototypes — Python, APIs, evaluation and observability frameworks, safety guardrails — not slideware. Reports to the VP of Applied AI and expects deep, current AI/ML expertise plus architecture experience in regulated industries.

Summary

A software engineering role on Smarsh's Professional Archive Search team, building the search platform that lets customers in regulated industries meet compliance obligations across their archived communications. The work is designing and delivering reliable, scalable, high-performance search capabilities in collaboration with Product, Engineering, and Site Reliability. The posting is light on required stack but frames it as meaningful backend and search engineering in a compliance context.

Summary

Security architecture for client and datacenter SoCs — boot ROMs, secure/measured boot, hardware-firmware-OS chains of trust, and NPU security — with an unusual twist: the role centers on using AI-driven analysis tools to find firmware vulnerabilities, insecure patterns, and cross-layer attack paths at scale. A recognized-expert role mixing SoC security depth with AI-assisted code reasoning.

Summary

A client-facing implementation role at SkyPoint deploying and customizing its data-and-analytics platform for senior-living operators (assisted living, skilled nursing, CCRCs). The technical core is Power BI and Microsoft Fabric — configuring pre-built semantic models and report templates to each client's operations, mapping source data, and going live — combined with real domain knowledge of senior-living metrics like census, occupancy, and care acuity. It suits a BI and analytics practitioner comfortable working customer-facing and with an AI-first approach, not a product developer.

Summary

A full-stack senior software engineering role on the Cayuse Research platform, which builds research-administration software for universities and research organizations. The stack is Java, Spring, and Hibernate, and the JD leans heavily on engineering discipline — end-to-end feature ownership from data layer to UI, strong testing (unit, integration, end-to-end), and balancing new features against tech-debt reduction. Requires 5+ years building large-scale web apps and services.

Summary

A people-management role at Cayuse leading the engineering and QA teams for a product area — a suite of related products with a shared roadmap. It centers on team leadership (hiring, 1:1s, coaching, performance management) and owning the software development lifecycle, partnering with product managers and tech leads, rather than hands-on coding. Suits an experienced engineering manager comfortable with architecture guidance, incident response, and roadmap planning in a research-software SaaS context.

Summary

Though tagged as software, this is a Revenue Operations systems-architect role: the sole Salesforce administrator and technical owner of SheerID's go-to-market tech stack, designing automation that scales pipeline generation. Work spans Salesforce Lightning configuration (objects, flows, permissions), integrating systems of record, action, and intelligence (Salesforce, Marketo, Slack, Looker), and applying AI and automation to revenue workflows. It requires 5+ years designing GTM automation, and a Salesforce Administrator certification is preferred — a RevOps and Salesforce platform role, not product engineering.

Summary

Define end-to-end CPU power-management microarchitecture — DVFS, C/P-states, thermal control, power gating, and telemetry — collaborating with RTL designers, SoC architects, and firmware/OS teams, then tuning against real silicon. This is hardware architecture with RTL/SystemVerilog expertise expected, not a software-development role. Requires 10+ years in CPU/SoC power and thermal architecture.

Summary

Despite the architect title, this is hands-on C/C++ development on oneDNN, Intel's open-source neural-network performance library that powers OpenVINO, TensorFlow, PyTorch, and ONNX Runtime. The work is low-level performance engineering — BLAS/LAPACK-style linear algebra, floating-point numerics, and CUDA/x86-assembly/OpenCL optimization for AI workloads on Intel CPUs and GPUs. Wants 5+ years plus a STEM master's or PhD; Hillsboro-based with Folsom as an alternate site.

Summary

Develop features and optimizations across Intel's HPC communication libraries — Intel SHMEM, Intel MPI, MPICH, and oneCCL — working directly with scientists on the Aurora supercomputer at Argonne National Labs. Requires a master's in CS/CE, 5+ years of C/C++ on Linux, multithreading, and experience with at least one communications library or distributed-computing layer. Hillsboro or Austin.

Summary

CPU microarchitecture performance work: defining microarchitecture specs, modeling performance and power in cycle-accurate C++ simulators, and chasing bottlenecks across branch prediction, fetch/decode, and the memory subsystem. The code you write is simulation and analysis; the product is CPU architecture. Requires 10+ years (6+ with PhD) on a high-performance x86 or ARM CPU performance team, including 8+ years in cycle-accurate C++ simulators.

Summary

A customer-facing principal engineer optimizing major customers' cloud and datacenter workloads on Intel platforms — profiling, NUMA/cache-aware tuning, and open-source ecosystem work (Spark, Postgres, MySQL, Go, zstd) — while shaping Intel's software/silicon co-design direction. Requires 10+ years including 5 in cloud/datacenter and 3+ facing customers.

Summary

The earlier-career sibling of Intel's communication-runtimes roles: build features and optimizations primarily for Intel SHMEM (with room to touch MPI, MPICH, and oneCCL), collaborating with Aurora supercomputer teams at Argonne. Requires 3+ years each of C/C++ and Linux development plus multithreading experience — a strong entry point into HPC middleware.

Summary

A principal-engineer-level architecture role owning Intel's GPU AI software stack end to end — firmware, drivers, frameworks, protocols, and algorithms — and the key technical design decisions across teams. Requires 10 years of software architecture including 5 in AI software; GPU or AI-accelerator product experience preferred. Hillsboro-based with Phoenix, Folsom, and Santa Clara alternates.

Summary

A backend distributed-systems role on Airship's small Shared Services team, focused on diagnosing and fixing performance bottlenecks and cost inefficiencies across a Java-based stack (Bigtable, Pub/Sub, CloudSQL, BigQuery) rather than shipping user-facing features. The work is investigative — profiling, testing theories, and making architecture and library changes to improve the whole system. Fully remote with up to 10% travel; the posted base range is $145,000 to $165,000 plus stock, and strong Java plus data-intensive systems experience is required.

Summary

A Salesforce architecture role at Smarsh owning platform architecture, automation standards, and data modeling across Sales Cloud, Service Cloud, CPQ, and Billing. The JD is explicit that this is a design-and-review position — establishing patterns and keeping automation robust rather than fragile — not a ticket-cranking admin job. It partners with the Salesforce Platform Manager and Technical Architect, so it suits a senior Salesforce practitioner focused on the platform's coherence as complexity grows.

Summary

A customer-facing support-engineering role in Intel Foundry's aerospace, defense, and government group: helping foundry customers integrate Intel silicon IP into their SoCs — debugging integration issues, generating IP collateral, writing application notes, and training customer design teams. More design support and documentation than software development; suits an engineer who likes hands-on debug across design domains.

Summary

A hands-on engineering-management role leading a five-person infrastructure team (spread across the US and France) that runs Airship's Google Cloud Platform infrastructure, build pipelines, and monitoring. It mixes people leadership — hiring, mentoring, technical interviews — with direct technical work on CI/CD, observability, and Infrastructure-as-Code (Terraform, Kubernetes). Note the location constraint: it is open only to candidates residing in the US Eastern time zone, and requires 5+ years of backend or infrastructure engineering plus 2+ years managing engineers.

Summary

A research-engineering role at Galois, an employee-owned company that applies formal mathematical methods to verify safety- and security-critical systems for clients like NASA, DARPA, and AWS. This particular opening centers on programming-language theory and formal verification — requirements gathering, high-assurance architecture and design, and implementation with formal methods applied throughout. It suits someone with formal-methods and programming-languages depth rather than a conventional application developer.

Summary

A player-coach engineering-management role at ConductorOne (an identity and access-governance platform) leading a team of Forward Deployed Engineers who build customer integrations, connectors, and provisioning flows. It blends hands-on delivery — Go preferred, plus APIs, webhooks, and identity standards (SCIM, SAML, OAuth) — with building out the FDE program's processes, hiring, and feeding customer patterns back into the product. Expect occasional travel for customer workshops and major deployments.

Summary

A hands-on, client-facing data-engineering role at SkyPoint building ELT/ETL pipelines and dbt projects for healthcare clients (payer, provider, health systems) on Databricks and Snowflake. It covers dimensional data modeling, data-quality frameworks, and warehouse optimization, plus building Power BI dashboards on top — turning complex claims, clinical, and eligibility data into governed data products. Fluency in SQL and dbt and an AI-first engineering mindset are central; the posting names a Portland, OR office location.

Summary

Despite the analyst title, this is an enterprise-applications engineering role specializing in SAP's Finance and Controlling (FICO) modules for NW Natural's accounting, consolidations, and treasury functions — configuration, troubleshooting, enhancements, and support on S/4 HANA. It requires deep SAP FICO expertise (5+ years), familiarity with SAP Analytics Cloud, Group Reporting, and Treasury, and at least one end-to-end SAP Finance implementation. This is an ERP finance-systems specialization, not general software development.