Top Engineering Jobs in Seattle, WA

Architects, designs, tests, debugs, and supports electrical power, sensing, actuation, networking, and control systems for agricultural robotics products. Owns systems through requirements, analysis, prototyping, integration, production, and post-sale support. Collaborates with mechanical and software teams, supports contract manufacturers, leads technical decisions, and investigates root causes. Travel to customer farms and test sites may be required.

Leads architecture and development of JPMC-VPC, a software-defined networking platform replacing legacy infrastructure. Designs control, distribution, and data plane components, gateways, load balancers, and IPAM systems. Builds production software in Go, Python, Rust, or C/C++, applies cloud-native engineering, CI/CD, infrastructure-as-code, observability, and responsible AI practices, and advises senior stakeholders on networking, distributed systems, and technology strategy.

Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.

Architect and develop safety- and mission-critical real-time software for autonomous aircraft mission-computing systems. Define system architecture, interfaces, data flows, resource budgets, and deterministic performance strategies. Integrate sensors, communications, navigation, autonomy, and mission systems with hardware and systems teams. Lead verification across simulation, laboratory, flight-test, and deployed environments while supporting requirements traceability, certification, cybersecurity, resilience, and lifecycle technical ownership.

Leads a team supporting product integration, configuration management, engineering data management, baseline control, change management, and delivery for Boeing’s P-8 military aircraft program. Collaborates with engineering, program leadership, suppliers, customers, and cross-functional teams; ensures compliance with government standards; manages product data tools and presents to executive leadership. This is a 100% onsite role in Tukwila, Washington.

Designs, develops, analyzes, tests, and maintains software systems for Boeing’s P-8 mission systems program. Responsibilities include defining and tracing requirements, developing architectures and interfaces, conducting code reviews and system analyses, monitoring verification and issue resolution, supporting certification and operational needs, creating user documentation, and coordinating software project and supplier activities.

Designs, deploys, secures, and operates resilient GCP cloud infrastructure using Infrastructure as Code and automation. Responsibilities include supporting software releases, managing cloud cost and compliance, building monitoring and alerting, troubleshooting stability and performance issues, conducting incident response and post-mortems, and collaborating with globally distributed engineering teams. The role also maintains documentation and contributes to scalable cloud architectures across production and non-production environments.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Designs, builds, and operates shared cloud and private-cloud platforms across Azure and AWS. Develops infrastructure-as-code, automation, Kubernetes capabilities, CI/CD pipelines, observability, and self-service developer tooling. The role establishes reliability, security, scalability, and cost standards; supports troubleshooting, capacity planning, vulnerability remediation, disaster recovery, and lifecycle management; and leads platform initiatives through production while contributing to architecture and mentoring engineers.

Design, build, and operate Cloudflare’s globally distributed cache and reverse-proxy data plane. Responsibilities include improving Pingora-based asynchronous systems, cache performance and correctness, purge and Tiered Cache services, APIs, observability, reliability, and production operations. The role owns features end to end, including design, implementation, testing, staged rollouts, incident response, and cross-team collaboration.

Build and ship features across iOS and Android apps, including backend changes, releases, automation, testing, and architecture improvements. Own cross-platform delivery using Kotlin Multiplatform, collaborate with product and design, and improve release tooling and quality gates. Use AI coding agents responsibly while establishing safeguards and workflows. The role requires strong Kotlin and Android expertise, production experience beyond the primary platform, architectural leadership, API and entitlement familiarity, automation skills, communication, and pragmatic decision-making.

Conducts setup, operation, troubleshooting, and analysis of battery energy storage tests for the X-BAT aircraft. Configures thermal chambers, battery cyclers, instrumentation, sensors, fixtures, harnesses, and data-acquisition systems. Executes electrochemical subsystem test campaigns, evaluates performance and abnormal behavior, supports qualification testing across environmental conditions, and assists with battery lab development. Collaborates with power systems and cross-functional engineering teams on verification, integration, and qualification.

Design complex PCB layouts for aircraft hardware, including digital, analog, RF, high-speed, and power electronics. Manage stack-ups, routing constraints, component placement, signal and power integrity, impedance control, thermal and EMI mitigation, and mechanical integration. Generate manufacturing documentation and collaborate with electrical, mechanical, manufacturing, and fabrication teams to ensure manufacturability, reliability, and compliance.

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 build secure, scalable platform services for distributed AI training and inference. Develop backend APIs, Kubernetes controllers, orchestration systems, asynchronous workflows, multi-tenant access controls, and developer tools. Improve reliability, observability, scalability, and engineering productivity while partnering with infrastructure and AI teams. The role also provides technical leadership, mentoring, and cross-functional collaboration throughout platform development and production delivery.

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.

Designs, builds, and operates large-scale AI compute infrastructure for training, fine-tuning, evaluation, and inference. Responsibilities include managing Kubernetes clusters, enabling CPU and GPU systems, optimizing scheduling and capacity, troubleshooting distributed infrastructure, and automating provisioning, upgrades, monitoring, and maintenance. The role partners closely with AI researchers and engineers to improve infrastructure reliability, scalability, performance, and developer productivity.

Lead the architecture and development of highly available cloud services for AI inference. Build Kubernetes controllers and platform capabilities for workload scheduling, scaling, recovery, deployment, and lifecycle management. Improve reliability, observability, performance, and resource efficiency through production readiness reviews and incident-driven improvements. Guide complex technical initiatives, mentor engineers, resolve infrastructure issues, and align architecture across AI compute, runtime, and product 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.

Leads software engineering and site reliability efforts, delivering secure, scalable production systems. Responsibilities include system design, coding, testing, troubleshooting, automation of recurring remediation, operational stability, vendor architecture evaluations, and adoption of AI-assisted engineering practices with strong validation, security, and responsible-use standards.

Develops and scales technical solutions, APIs, SDKs, and partner-facing tools for complex integrations. Collaborates with Product, Engineering, and Sales to deliver partner solutions, troubleshoot technical issues, optimize performance, and support launch strategies. Uses product usage metrics to identify insights and improve adoption. Requires programming proficiency, experience with RESTful APIs and third-party integrations, strong debugging and analytical skills, and at least two years of software development experience or an equivalent advanced-degree pathway.

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.

Design and own avionics hardware for X-BAT through full lifecycle: concept, circuit and PCB design, integration, verification, environmental qualification, flight test, debugging, and manufacturing with mentorship from senior engineers.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.