Top Robotics Engineer Jobs in San Francisco Bay Area, CA

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.

Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.

Own the architecture and technical direction of autonomy and vehicle software for autonomous underwater vehicles. Lead cross-disciplinary robotics challenges spanning onboard software, GNC, state estimation, sensing, fault management, testing, field operations, and fleet-scale deployment. Improve unattended mission reliability through FDIR, safe-state behaviors, telemetry, logging, sensor synchronization, OTA updates, and rollback. Mentor engineers, establish quality standards, manage the roadmap, support on-call operations, and drive practical AI adoption.

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.

Design and scale infrastructure for multimodal training at OpenAI, focusing on distributed data systems and collaborating with researchers.

As a GPU Inference Engineer, improve model serving efficiency, optimize performance, and build infrastructure to support AI systems at scale.

Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.

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.

As a Robotics System Integration Engineer, you'll integrate and test robotic systems, triage issues, and ensure reliable operation across hardware and software layers.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

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, implement, and optimize software for robotics data collection and evaluation across diverse hardware. Own hardware integration lifecycle, develop robot control interfaces, build automation tooling for policy evaluation, and lead data collection, visualization, and quality control while collaborating with cross-functional teams.