Top Robotics Engineer Jobs in Seattle, WA

Own the real-time control stack for physical robots, including arms, hands, bimanual systems, and humanoids. Develop and tune torque-level and whole-body controllers, enable sim-to-real transfer, and lead robot setup, calibration, maintenance, and debugging. Design custom hardware such as end-effectors and test rigs, build teleoperation and monitoring tools, and collaborate with research and simulation teams. Contribute to open-source robotics software and publications.

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 robotic mechanical systems, mechanisms, actuators, transmissions, end-effectors, and integrated electromechanical subsystems. Responsibilities include requirements translation, architecture, component selection, SolidWorks assemblies and drawings, tolerance analysis, prototyping, testing, troubleshooting, and design release. The engineer presents tradeoffs and technical risks while coordinating with electrical, firmware, software, and systems teams. This is a hands-on, on-site role requiring at least eight years of product-development experience.

Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.

Provides advanced technical support for robotic systems during commissioning and 24/7 customer operations. Diagnoses hardware, software, controls, Linux, network, and automation failures; analyzes logs and telemetry; develops integrations and support workflows; leads major incidents; coordinates engineering, field service, and customer teams; manages cases and corrective actions; validates AI-assisted diagnostics; and mentors engineers while improving system reliability and recovery times.

The Robotics Engineer will design, configure, troubleshoot robotic systems and support electrical/software design, ensuring compliance with safety standards and optimizing production processes.

Develop and deploy reinforcement learning and imitation learning policies for whole-body humanoid locomotion and manipulation. Build high-fidelity simulation environments, improve sim-to-real transfer, conduct experiments, evaluate models, write reusable code, contribute to publications, and deliver policies to production customer sites. The role spans robotics research, computer vision, model development, and end-to-end deployment.

Design and build software and hardware for robotic teleoperation and large-scale data collection. Develop electromechanical devices, operator interfaces, backend processing, data-quality metrics, augmentation pipelines, and adaptation systems for robot learning. Work across robot arms and mobile manipulators, modern sensing hardware, robotics middleware, and manipulation policies. Collaborate with teleoperators, research teams, and customers to move robotic capabilities from prototypes into deployed products.

Develop production-grade robotic manipulation systems spanning foundation models, reinforcement learning, simulation, synthetic data, and real hardware. Train, adapt, evaluate, and deploy vision-language-action and related policies across robotic arms, mobile manipulators, and humanoids. Build scalable data and software pipelines, conduct end-to-end experiments, contribute to research publications and open source, and collaborate with customers to deploy manipulation capabilities.

Lead software system architecture for complex robotics products spanning embedded systems, edge computing, robotics middleware, connectivity, cloud services, and fleet platforms. Define requirements, interfaces, performance metrics, testing, security, deployment, and OTA strategies. Partner with clients, technical project managers, and multidisciplinary engineering teams to manage risks, schedules, budgets, and delivery. Provide technical leadership, mentorship, and guidance on autonomy, AI, simulation, safety, and long-term serviceability.

Lead system design and architecture for multidisciplinary hardware and software product-development projects. Serve as the technical client contact, define requirements and performance metrics, coordinate engineering and design teams, oversee system testing and validation, manage technical risks, and support project schedules, budgets, estimates, and delivery. Provide technical guidance and mentorship while ensuring products meet functional, performance, quality, timeline, and budget objectives.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.

The Senior Robotics Engineer will develop advanced robotics systems for agriculture, collaborating on design, testing, and research to enhance autonomous technology.

Build realistic simulation environments, tools, and infrastructure for autonomous boats, drones, ground vehicles, and multi-agent systems. Develop configurable scenarios, sensor models, agent behaviors, closed-loop SIL and HIL workflows, replay and regression testing, and automated scenario evaluation. Integrate simulations with autonomy stacks, mission software, command-and-control systems, and data pipelines. Improve simulation scalability, fidelity, debugging, and developer workflows while helping engineering teams reproduce field failures and validate systems before deployment.

Seeking Robotics Engineers to integrate technology onto hardware and manage customer deployments, optimizing AI models for robotics with cross-functional collaboration.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

Deploy, develop and implement AI-powered robotics systems on farms, collaborating with farmers and sales teams to solve real-world problems.

Develop robotics software for tractor-mounted AI systems, focusing on perception and localization algorithms. Optimize code for performance and support across software and hardware stacks.

As a Robotics Software Engineer, you will develop software for AI-powered camera systems focused on perception and localization, optimizing code for edge computing performance.

Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.

Build software for data-center robotics including task planning, fleet coordination, perception, navigation stacks, and integration with company systems. Ship autonomy glue combining perception, navigation, and task logic. Own operational tooling for monitoring, teleoperation fallback, and diagnostics. Integrate robotics mission and exception data into platform. Require production robotics experience, ROS or equivalent middleware, remote-failure engineering, enterprise integration, and hardware-software debugging.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.