Top Staff Engineer Jobs in Seattle, WA

Lead mechanical design of ground support equipment (GSE) for next-gen UAS: create CAD models and drawings, perform structural/thermal/fatigue analysis, oversee prototyping and testing, integrate with aircraft systems, support flight tests, and develop documentation for field sustainment.

Lead architecture, design, and development of precision wire harnesses and cable assemblies for autonomous UAVs. Own 3D CAD routing, analysis, prototypes, and testing. Perform electrical and environmental reliability analysis, integrate with avionics/systems/manufacturing, and mentor engineers to establish harness design best practices.

Design and develop complex structural systems for autonomous aircraft launch and recovery. Own concept-to-production CAD design, perform kinematic and structural analysis, prototype and test mechanisms, support integration and flight testing, and collaborate across disciplines to ensure manufacturability and reliability.

Lead structural analysis for UAV airframes and components using FEA and hand calculations. Execute static, modal, fatigue, vibration, and damage-tolerance analyses; validate models against tests; support flight test correlation; optimize structures for weight, performance, cost, and manufacturability; mentor analysts; and coordinate cross-functionally to influence structural design decisions and standards.

Lead aircraft-level thermal analysis and characterization for VTOL unmanned aircraft. Develop and validate analytical and CFD models, run trade studies, define requirements, plan and analyze thermal tests, mentor teams, and mitigate aircraft thermal risks to meet mission-critical aerospace requirements.

Lead design and development of advanced electrical systems for autonomous aircraft, including circuit and subsystem design, part selection, schematic capture, simulation, verification, debugging, and production releases. Integrate embedded systems and sensors for autonomy, coordinate cross-functional teams, mentor engineers, define technical requirements, and develop automated test solutions to improve hardware reliability and production readiness.

Own and operate CI/CD and automation for autonomy, embedded, and ground software. Improve developer velocity, scale simulation and HIL test execution, manage build/test infrastructure, automate self-service DevOps, integrate testing into pipelines, and implement monitoring and alerts for CI/CD health.

Lead mechanical design of rugged, deployable Ground Support Equipment (GSE) for next-generation UAS. Create CAD models and drawings, perform structural/thermal/fatigue analyses, run trade studies, oversee prototyping and testing, develop technical documentation, collaborate with manufacturing/suppliers, and support flight test campaigns to meet military and aviation standards.

Design and integrate avionics electro-mechanical systems from concept to production, including packaging, harnesses, thermal and structural analysis, EMI/EMC compliance, PCB interfacing, validation, failure analysis, and flight test readiness while collaborating cross-functionally.

Designs and scales data center hardware platforms and automation across DigitalOcean’s infrastructure. Responsibilities include leading hardware design and vendor projects, developing hardware roadmaps, automating configuration and validation, troubleshooting fleet hardware as a Tier 3 escalation, supporting 24/7 on-call operations, improving firmware and hardware automation, collaborating with vendors, and mentoring engineers. The role requires deep server architecture, Linux, networking, storage, firmware, configuration management, and large-scale hardware automation expertise.

Lead the evolution of CoreWeave AI Object Storage's security, manage cross-functional teams, and develop secure cloud-scale storage systems.

Build and operate highly reliable card-issuing systems at Block, focusing on network integrations, ISO 8583 message flows, authorization, clearing, certification, mandates, and production behavior. Lead complex cross-team engineering initiatives, create conformance tooling and shared frameworks, debug protocol-level issues, collaborate directly with card networks, mentor engineers, apply AI-assisted development practices, and participate in on-call support for critical financial systems.

Build and operate highly reliable card-issuing systems at the network boundary. Responsibilities include interpreting specifications, protocols, certifications, mandates, and production behavior; developing production software and conformance tooling; analyzing network messages; driving certification cycles; influencing card networks; mentoring engineers; applying AI-assisted engineering practices; and participating in on-call support for critical financial systems.

Develop guidance, navigation, and control algorithms for advanced aircraft in a blue-sky defense project. Responsibilities include vehicle dynamics modeling, flight-control design, simulation, real-world control-system tuning and optimization, and applying modern control theory. The role requires strong aircraft dynamics and handling-qualities expertise, production C++ experience, and MATLAB/Simulink proficiency. Candidates must be able to obtain a Secret clearance and collaborate effectively in a fast-moving engineering environment.

Build and operate secure, scalable AI compute platform services, including backend APIs, asynchronous workflows, Kubernetes controllers, and multi-tenant workload capabilities. The role focuses on distributed training and inference, platform reliability, observability, developer tooling, and infrastructure simplification. Responsibilities include collaborating across engineering teams, improving scalability and developer productivity, and providing technical leadership for production AI platform capabilities.

Design and lead development of robotics software foundations connecting sensing, planning, control, actuation, middleware, operating systems, and hardware accelerators. Build APIs, SDKs, diagnostics, testing workflows, and production-ready reference platforms for Arm-powered devices. Optimize real-time performance, reliability, safety, and resource usage while mentoring engineers and collaborating across robotics, AI, hardware, product, and customer teams.

Designs and develops highly available cloud services for AI inference workloads. Responsibilities include building Kubernetes controllers and platform capabilities for deployment, scheduling, scaling, recovery, upgrades, observability, and lifecycle management. The role leads production readiness reviews, resolves complex infrastructure issues, improves reliability and performance, drives architecture and design reviews, mentors engineers, and influences technical direction across teams.

Design, build, and operate large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. Manage Kubernetes clusters, workload scheduling, accelerator enablement, networking, storage, monitoring, and capacity. Troubleshoot complex application, cloud, cluster, and hardware issues while improving reliability, performance, scalability, and developer productivity. Partner with AI teams to automate provisioning, upgrades, monitoring, and maintenance.

Lead the design, development, testing, and deployment of large-scale cloud infrastructure automation software for ServiceNow’s global platform. Build reliable distributed systems, improve observability and resilience, develop automated testing and CI/CD practices, modernize platform capabilities, and mentor engineers. Collaborate with product managers, architects, stakeholders, and distributed engineering teams while applying AI-assisted development and reliability engineering techniques.

Leads enterprise software architecture, technical strategy, and roadmap execution across multiple domains. Designs scalable, reliable systems and platforms using modern programming languages, cloud services, microservices, databases, containers, and DevOps practices. Partners with product and engineering teams, mentors technical staff, influences executives, improves engineering processes, evaluates performance and costs, and drives continuous learning. The role requires extensive software development and architecture experience, strong cloud and Azure expertise, and the ability to transfer research into production.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Lead survivability engineering for autonomous aircraft: design and optimize low-observable features, perform EM signature modeling and RCS testing, partner with multidisciplinary teams and materials scientists, translate threats into survivability requirements, and support assessments and milestone decisions throughout the program lifecycle.

Lead technical development and performance improvement across aerospace mechanical suppliers. Assess supplier capabilities, manufacturing readiness, quality systems, capacity, tooling, and processes; drive industrialization, production ramp-up, corrective actions, and recovery efforts. Partner with Engineering, Quality, Manufacturing, Supply Chain, and Strategic Sourcing teams, review technical documentation, support First Article Inspections, resolve manufacturing issues, and ensure compliance with aerospace requirements. Regularly travel to supplier sites and mentor junior team members.

Lead development productivity initiatives by building secure, scalable CI/CD infrastructure, automated delivery pipelines, self-service developer tooling, reproducible builds, and self-healing test environments. Improve local development, release processes, system reliability, and engineering standards across SaaS, mobile, and embedded products. Mentor engineers, guide platform direction, and collaborate with stakeholders across the organization.