Staff Software Engineer, Claude Design AnthropicStaff Software Engineer, Claude DesignSeattle, WAYou'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. Build and ship Claude Design's core surfaces (the design canvas, real-time editing, inline comments, and the live adjustment controls Claude generates), shipping early and often to maximize learning.
Support Engineer AnthropicSupport EngineerSeattle, WAAs a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts - embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed - and ensure the right internal teams are engaged when needed.
Construction Office Engineer / Project Controls KBA, Inc.Construction Office Engineer / Project ControlsBellevue, WAFull timeKBA, Inc. works on the areas most technically challenging, complex, and award-winning construction projects: Roads-Bridges & Highways-Transit Water & Wastewater-Buildings-Land Development-Port Facilities Bring your knowledge and expertise in Construction Office Engineer/Project Controls to develop creative solutions which help our clients make smart and strategic decisions to complete successful projects. Communicates effectively by developing and delivering multi-mode communications that convey a clear understanding of the project needs to external partners (i.e. clients, consultants, and contractors).Cultivates innovation by creating new and better ways for the project to be successful and tapping resources.
Staff+ Software Engineer, Databases AnthropicStaff+ Software Engineer, DatabasesSeattle, WAYou'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff+ Software Engineer, Backend AnthropicStaff+ Software Engineer, BackendSeattle, WAYou'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface.
Staff Software Engineer: AI Inference Data Plane DigitalOceanStaff Software Engineer: AI Inference Data PlaneSeattle, WA$167,200–$209,000 / yearFlow Control & Load Balancing: Solve the distributed-systems problems unique to LLM serving - inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead. Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.
Senior Engineer II, Inference Engine - Serving Engine DigitalOceanSenior Engineer II, Inference Engine - Serving EngineSeattle, WA$167,200–$209,000 / yearAs a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. What You'll Do: Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
Senior Engineer, Inference Data Plane DigitalOceanSenior Engineer, Inference Data PlaneSeattle, WA$139,200–$174,000 / yearFlow Control & Load Balancing: Solve the distributed-systems problems unique to LLM serving - inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead. Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve, KServe) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models.
Software Engineer, Storage DoorDash IncSoftware Engineer, StorageSeattle, WA$130,600–$192,000 / yearThis role is available across two teams within Storage, each solving unique and high-impact challenges: One team is building the orchestration layer for DoorDash's storage platform-unifying lifecycle management, operations, and self-serve APIs for databases and streaming systems, turning complex, stateful infrastructure into reliable, developer-friendly services used across the company. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.
Lead Platform Engineer Gates FoundationLead Platform EngineerSeattle, WA$190,100–$294,700 / yearWithin Business Operations and the Information Technology (IT) organization, the Enterprise Data Solutions (EDS) team leads work across Knowledge Management, AI, Data Engineering, Business Intelligence, Data Infrastructure, and Health Data Platforms. Provide platform architectural leadership and hands-on development of frameworks (example: Data Classification, data auditing, etc.) on complex, cross-team initiatives, ensuring solutions are scalable, secure, resilient, and maintainable.
Remote Services Representative Sunbelt Controls IncRemote Services RepresentativeRenton, WARemote$88,480–$111,000 / yearWhat''s great about working at Sunbelt Controls is that we're a big enough company to be a leader in Automated Controls contracting in California, the Pacific Northwest, and the Southwest U.S., but as a 100% employee-owned ESOP, we're a private company with a family-oriented feel. JOB SUMMARY: This position requires the individual to apply their technical experience to the support of internal and external customers, including but not limited to: field service technicians, project managers, contractor clients, and end- user clients.
Advanced Software Engineer General Dynamics Mission Systems, IncAdvanced Software EngineerPort Orchard, WA$112,924–$125,275 / yearGeneral Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 5 years of relevant experience; or Master's degree, plus 3 years relevant experience.
Sr. Electrical Test Engineer Fresh Consulting IncSr. Electrical Test EngineerKent, WAWe bring together amazing UX designers, sophisticated developers, digital strategists, and top-notch engineers to help companies create fresh experiences that connect humans, systems, and machines. Fresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end digital services to help companies innovate.
Sr Engineer, Multimedia (NTD) Nintendo Co LtdSr Engineer, Multimedia (NTD)Redmond, WASince 1983, when it launched the Nintendo Entertainment System, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy, Game Boy Advance, Nintendo DS family of systems, Super NES, Nintendo 64, Nintendo GameCube, Wii and Wii U systems. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.
Systems Engineer Lead, Information Technology Recreational Equipment IncSystems Engineer Lead, Information TechnologySeattle, WA$130,200–$208,200 / yearThe Systems Engineer Lead designs and supports the tools and platforms behind our Windows and macOS devices-making it seamless for teams to stay connected, productive, and focused on serving our members. To work towards this commitment and fulfill our brand promise of inspiring and enabling a life outside for everyone, we seek employees who demonstrate different ways of working, create a sense of belonging, and actively listen and learn.
Corporate Security Engineer TaxBit IncCorporate Security EngineerSeattle, WA$78,496–$187,339 / yearThis role owns the design, deployment, and lifecycle management of Taxbit's corporate IT and security infrastructure-with a focused emphasis on identity management via Okta, endpoint management via Jamf and Intune, and productivity administration via Google Workspace. Its unique combination of deep subject matter expertise and AI-forward technology have made it a fast-growing disruptor trusted by the world''s leading fintechs, marketplaces, digital asset players, Big 4 accounting firms, traditional enterprises, and government agencies.
Machine Learning Engineer HiveMachine Learning EngineerSeattle, WA$120,000–$180,000 / yearEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Sr. Software Engineer, Embedded Systems Controls Carbon RoboticsSr. Software Engineer, Embedded Systems ControlsSeattle, WA$190,000–$225,000 / yeartalentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics. LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and destroy them with sub-millimeter precision-no herbicides, hand labor, or soil disturbance required.
Wiring Harness Engineer Carbon RoboticsWiring Harness EngineerSeattle, WA$125,000–$150,000 / yeartalentacquisition #laserweeding #laserweeder #weedcontrol #agtech #agtechnology #farmtech #robotics #lasers #lasersandrobots #missiondriven #AI #startup #wearehiring #computervision #machinelearning #carbonrobotics. LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and destroy them with sub-millimeter precision-no herbicides, hand labor, or soil disturbance required.
Staff Software Engineer, Ai/Ml DigitalOceanStaff Software Engineer, Ai/MlSeattle, WA$216,800–$271,000 / yearAs a Staff AI/ML Engineer on our Applied Research team, you'll own the technical direction for feedback-driven learning in DigitalOcean's agentic systems: reward modeling, preference optimization, reinforcement learning, and the evaluation infrastructure needed to measure whether any of it is actually working. Building agents that get better over time - that learn from feedback, correct mistakes, and optimize toward outcomes users actually care about - is one of the hardest open problems in production AI today.