Plant Integration Engineer, Electrical ProtingentPlant Integration Engineer, ElectricalBellevue, WARemote$69–$115 / hourSupport development of electrical system deliverables including but not limited to procurement specifications, requirements documents, system design descriptions, failure modes and effects analysis (FMEA), calculations, single-line diagrams, and engineering change packages. About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies .
Senior Fuel Handling and Dry Storage System Engineer ProtingentSenior Fuel Handling and Dry Storage System EngineerBellevue, WARemote$52–$85 / hourAbout Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies . Interface with design disciplines (such as mechanical, instrumentation and controls, civil, and nuclear) to identify and develop plant design information and specify system design and performance criteria.
Performance Engineer, Inference Systems AnthropicPerformance Engineer, Inference SystemsSeattle, WAWe measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends.
Senior Engineer - Utilities ParsonsSenior Engineer - UtilitiesSeattle, Washington$88,400–$154,700 / yearWe take special pride in projects and solutions that improve communities as well as people’s quality of life by promoting economic growth, enhancing mobility, and increasing sustainability and resiliency. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential.
AI Lead Software Engineer NICE SystemsAI Lead Software EngineerSeattle, WANASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. This role will collaborate closely with engineering and data teams to prototype and productionize data solutions at scale that include document and vector search, and semantic retrieval.
Software Engineer II - Integrated Services CompassSoftware Engineer II - Integrated ServicesSeattle, WA$126,990–$141,100 / yearDeliver Features End-to-End: Work independently to deliver small to mid-sized components and collaborate with senior engineers to implement more complex technical designs, ensuring code is secure, stable, and testable. Contribute Across the Stack: While primarily backend-focused, you will actively contribute to the frontend development of intuitive user interfaces (using modern frameworks like React), ensuring seamless full-stack feature delivery.
Azure Data Engineer Georgia Tek SystemsAzure Data EngineerRedmond, WAAbility to communicate effectively with stakeholders and collaborate with other roles in the data platform team, such as data engineers, data analysts, data scientists, solution architects, platform engineers, security engineers, and business users. Ability to design data pipelines, data ingestion, data transformation, data storage, data access, data security, data governance, and data quality using Azure tools and best practices.
Kafka to AWS MSK Migration Engineer Artech LLCKafka to AWS MSK Migration EngineerSeattle, WA$50–$55 / hourCandidates are not expected to be experts in every tool, but should bring strong hands-on experience across several of the following areas: AWS Services: Hands-on experience with AWS compute and migration patterns, including ECS, EKS, Lambda, CloudWatch, and related cloud services. The ideal candidate will bring strong hands-on engineering experience with distributed messaging systems, a structured delivery mindset, and the ability to collaborate effectively with application, infrastructure, and platform teams to execute migrations safely and at scale.
Senior AI Engineer Privacy Cardinal Integrated Technologies IncSenior AI Engineer PrivacyBellevue, WADesign and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. " Build AI-powered automation for privacy operations including intelligent DSR routing, threshold monitoring, agentic data quality checks, and automated regulatory notifications.
Automation Application Engineer Saicon Consultants IncAutomation Application EngineerRedmond, WAThis role collaborates closely with Sales Engineers and Automation Engineers to define technical requirements, develop solutions, and ensure systems operate reliably in customer environments. Work Environment: This position is based in a professional office setting and regularly utilizes workplace technology, including computers, smartphones, multifunction printers, cloud-based filing systems, and collaboration tools.
Java Full Stack / Microservices Engineer Artech LLCJava Full Stack / Microservices EngineerSeattle, WA$55–$56 / hourDesign and build scalable Java/Spring Boot microservices using clean architecture and Domain-Driven Design (DDD) principles. The role requires strong expertise in Java, Spring Boot, Kafka, GraphQL, MongoDB, Python integration, security, CI/CD, Kubernetes, and observability .
Lead Software Engineer - Infrastructure Platforms JPMorgan Chase Bank, N.A.Lead Software Engineer - Infrastructure PlatformsSeattle, WAFull timeDemonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations at scale, including security/resiliency implications, data sensitivity, and risk-based governance; ability to advise senior leaders on safe adoption, reuse, and measurable outcomes.
Sr Principal Software Engineer JPMorgan Chase Bank, N.A.Sr Principal Software EngineerSeattle, WAFull timeAs a Senior Principal Software Engineer at JPMorganChase within the CDAO AI/ML Data Platforms Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Demonstrated experience designing and scaling agentic AI-enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs.
NewSoftware Development Engineer, Compute Platform Apple IncSoftware Development Engineer, Compute PlatformSeattle, WAComparable work on Kubernetes VPA, on runtime or demand prediction feeding an HPC scheduler, or on an in-house equivalent is equally relevant Experience characterizing workloads at fleet scale, for example grouping jobs into behavioral classes or building the telemetry to do so Experience shipping a model or heuristic that made automated decisions in production, and owning the outcome Experience with forecasting, regression, or uncertainty estimation applied to operational time series Experience modelling how a systems resource consumption scales - for example projecting the network, storage or I/O demand created by growing a compute footprint - and using that to inform capacity or sizing decisions Experience with Kubernetes / Slurm or a comparable batch scheduling system. Engage directly with customers and partner teams on their compute needs: understand their workloads, analyze cluster utilization and capacity, and turn that analysis into demand forecasts, node pool configuration and quota decisions that balance customer demand against fleet efficiency.
NewRobotics Machine Learning Engineer (Embodied AI) Team Red DogRobotics Machine Learning Engineer (Embodied AI)Redmond, WAPhD-level research, doctoral studies, or substantial research experience within a robotics lab will be particularly valuable, especially for candidates who have trained robotic models such as vision-language-action models, diffusion models, or reinforcement learning policies. You will help integrate new robotic platforms and simulation environments into a sophisticated learning framework, collect and prepare demonstrations for model training, and launch fine-tuning and evaluation runs across internal and external VLA models.
Process Engineer III Crane Aerospace & ElectronicsProcess Engineer IIILynnwood, WA$118,036–$137,597 / yearSkills/Abilities: Demonstrated ability to plan and accomplish goals based on experience and judgment; Strong Statistics / Analysis / Problem Solving skills; Self-motivated / Ability to prioritize / Strong time management skills; Ability to effectively communicate with various levels of the organization; Ability to establish and maintain effective working relationships with internal staff and outside professionals; Ability to analyze and document analysis of materials and parts (i.e. fluid, corrosion, fungal and flame resistance). The Process Engineer III also collaborates closely with Engineering to ensure successful handoff of new products, processes, and materials while providing technical support as needed, maximizes product performance by researching, testing, analyzing and verifying that materials will perform in manufacturing and environment, oversees materials shelf life to support quality metrics, participates in engineering design review and ensures customer satisfaction.
NewSenior Systems Engineer RADARSenior Systems EngineerSeattle, WA$165,000–$200,000 / yearWe are deployed across 1,400+ stores with retailers including American Eagle Outfitters and Old Navy, processing tens of billions of real-world events every day, delivering 99%+ accuracy in complex, noisy environments - at fleet scale. System Analysis: Analyze RFID tag read data from multiple environments including operating stores and internal test spaces to assess system performance using Python and SQL.
Manufacturing Engineer I Crane Aerospace & ElectronicsManufacturing Engineer ILynnwood, WA$88,605–$101,727 / yearKnowledge: Practical application knowledge of the theories of modern production principles and methods as applied to a high technology electronics design and manufacturing operation; Basic knowledge of material characteristics and processing, chemicals; Basic concepts of electrical systems, mechanical systems, fluids, and heat transfer. Beyond an associate’s base compensation, we reward and reinforce wellbeing with a compelling package of both cash and non-cash benefits, including comprehensive health, wellness incentives, assistance with retirement savings, paid time off, paid holidays, and tuition reimbursement — as well as performance-based bonus programs for certain positions.
AI & Data - Data Engineer eTeam Inc.AI & Data - Data EngineerSeattle, WA$64–$73 / hourIngest and process data from Client (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education). Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
Staff Data Engineer LVTStaff Data EngineerSeattle, WA$171,900–$221,000 / yearDataset Versioning: Own schema and content versioning so producers can evolve datasets without breaking consumers opt-in versions, append-without-rewrite for new fields, and the reader/writer indirection that lets data migrate underneath clients on a controlled rollout instead of forced lockstep migrations. Labels & Annotation Data Lifecycle: Own how labels and semantic annotations are appended to datasets without rewriting source data, then versioned, quality-checked, and served, partnering with annotation and data-operations teams on label production and verification while you own the dataset, storage, and serving side.