Top Robotics Engineer Jobs in San Francisco Bay Area, CA

Build and integrate robotic vehicle and aircraft platforms, including mechanical enclosures, mounts, cable harnesses, power systems, drive-by-wire, actuators, motors, and sensors. Design components in parametric CAD, fabricate prototypes, manage vendors, document builds, and bring up and verify systems. Support field testing, client demonstrations, procurement, maintenance, and on-site repairs in demanding outdoor environments.

Lead the end-to-end architecture and development of robotic systems for large-scale solar construction. Design and iterate on hardware and software, establish engineering, testing, validation, and documentation standards, close technical capability gaps, mentor the robotics team, and coordinate with hardware, software, manufacturing, and deployment leaders. The role is hands-on and based in San Francisco with regular travel to West Texas.

Lead the architecture, prototyping, integration, validation, and debugging of electromechanical systems for a robotic hand exoskeleton. Own actuator and sensor-integrated subsystems from concept through clinical-study readiness, define validation strategies, resolve multidisciplinary hardware and controls issues, and guide reliability, manufacturability, and production transition efforts. Mentor engineers, establish engineering processes, support vendor and component decisions, and develop fixtures, harnesses, and integration tooling.

Design and build Andromeda’s mission autonomy system for humanoid robots, covering long-duration decision-making, behavior orchestration, simulation, safety degradation, deployment, monitoring, and evaluation. The role leads architecture across autonomy, conversational AI, perception, audio, and platform teams while remaining hands-on with software, robot hardware, and real-world deployments. The engineer will establish action interfaces, simulation-based benchmarks, rollout processes, observability, failure recovery, and operational patterns for autonomous robot missions.

Develop production control and localization systems for heavy autonomous vehicles. Design and tune MPC and PID algorithms, build GPS/RTK and IMU-based localization and state-estimation pipelines, analyze field-test logs, and integrate controls with perception, planning, and hardware. The role requires onsite work in San Francisco and up to 15% travel to customer deployment and testing sites.

Design, implement, and maintain production robotics software across the autonomy stack including ROS-based control, sensor integration, motion planning, and embedded C++ systems. Work hands-on with hardware to debug, calibrate, and optimize robots for real-world construction environments and build production monitoring and diagnostics infrastructure.

Lead system-level architecture and integration across mechanical, electrical, software, perception, and safety for an autonomous construction robot. Establish systems engineering practices, write requirements and ICDs, run trade studies, perform hazard analyses, translate field feedback into design changes, lead reviews and root-cause investigations, and mentor engineers while aligning technical risk with business priorities.

Design and develop mechanical components and assemblies for autonomous production robots, including grippers, manipulators, end-effectors, and mounts. Lead designs from concept through production, develop rapid prototypes, integrate components into larger hardware systems, and ensure performance, reliability, and manufacturability. Provide technical leadership and collaborate with hardware engineering and operations teams in an onsite, fast-paced environment.

Develop and ship autonomy software for outdoor, production robots across perception, localization, state estimation, motion planning, and controls. Build fleet coordination, simulation and CI, logging/telemetry pipelines, and operator tools. Validate on real hardware, support field deployments, and ensure software degrades gracefully at remote sites.

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.

As a Forward Deployed Robotics Engineer, you'll manage robotic systems' technical issues in real-world settings, performing diagnostics, collaborating with teams, and analyzing data for resolution and improvements.

Design, build, test, and maintain the mission behavior engine for robots across the stack: core behavior capabilities, scalable APIs, cloud integrations, AI/NLP configuration, and backend infrastructure. Own projects from design through deployment, collaborate with cross-functional teams, ensure quality via testing and CI, and drive architectural decisions.

Leads the architecture, development, optimization, integration, and testing of robotics software and autonomy algorithms for perception, planning, control, and navigation. Provides technical leadership through mentoring and code reviews, collaborates with hardware and product teams, documents systems, and contributes to research publications and industry advancements. The role requires extensive deployed robotics software experience, strong C++ skills, robotics simulation proficiency, and knowledge of computer vision, machine learning, and control theory.

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

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

Design, implement, tune, and verify real-time robotic control systems spanning actuators, hardware interfaces, state estimation, motion control, and whole-robot behavior. The role involves hands-on robot commissioning, debugging, experimentation, and testing, while collaborating with mechanical, electrical, software, and machine learning teams to integrate reinforcement learning and optimize real-world robotic performance.

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.

Designs and releases high-density multilayer PCBs for robotic systems, including placement, routing, signal and power integrity, EMI/EMC, thermal, and mechanical integration. Collaborates with engineering, fabrication, and assembly partners on stack-ups, DFM/DFA/DFT, documentation, manufacturing inspections, and failure analysis. Maintains component libraries and develops reusable layout constraints and workflows.

Develop and maintain software ecosystem for robots, implement system services applications, and bridge software layers for effective feature development.

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

Develop motion-planning and control algorithms for outdoor construction robots, deploy them on hardware, benchmark and tune them for robust real-world operation, and integrate them with perception and learning components. Interns own scoped projects, work with mentors, and demonstrate results. Projects may include safe-stop and human-avoidance behaviors or manipulation from moving platforms on rough terrain.

Lead the Cell Platform team owning the software/hardware layer between firmware and application on robot cells. Responsible for product roadmap, releases, hands-on development, hiring, and cross-team partnerships. Deliver embedded Linux/BSP bring-up, sensor integration, real-time determinism, middleware (ROS2/DDS) and data transport design, containerized images, CI/CD release engineering, and fleet-scale OTA/provisioning and observability for production robot fleets.

Engineer low-latency, high-throughput sensor and actuator pipelines, optimize system performance, and integrate complex models into real-time workflows while collaborating across teams.

Seeking Mechanical Robotics (Humanoid) engineers to build intelligent, embodied systems that operate in the real world. Impact company direction, advance your career, and collaborate with portfolio companies to develop humanoid robotic hardware and systems.

Own the reliability of a deployed humanoid robot fleet by diagnosing hardware, firmware, controls, and telemetry failures. Perform hands-on actuator and electronics repair, design test fixtures and mechanical modifications, build fleet health metrics and calibration tooling, analyze robot logs, improve observability, validate firmware and software changes, and document procedures. The role requires strong Python, motor-control and actuator knowledge, hardware troubleshooting, time-series analysis, and cross-functional collaboration.