Top Robotics Engineer Jobs in San Francisco Bay Area, CA

Responsible for the robotics navigation stack including control, localization, mapping, path planning, and interaction decision making. Design, develop, test, and improve algorithms while managing project priorities and deliverables.

Develop and lead software for robotic systems, focusing on control, sensing, teleoperation, and integration with AI and hardware teams.

Design components and systems for production robots, ensuring performance and manufacturability. Collaborate with engineers to support product development.

Design and develop software for robotic systems, focusing on performance optimization, motion planning, and collaboration with hardware engineers. Conduct simulations to validate system performance.

As a (Senior) Technical Pre-Sales Engineer at RobCo, you'll design automation solutions, collaborate with teams, and present concepts to clients in robotics and AI-driven technologies.

The Senior Software Engineer will develop and optimize software for robotics systems, focusing on connectivity, observability, fleet management, and cloud infrastructure to ensure reliability and performance in real-world conditions.

Design and maintain infrastructure for large-scale multimodal training and evaluation. Collaborate with researchers to build reliable distributed data systems.

As a Senior Robotics Software Engineer, you'll develop and maintain robotics software, interface with hardware, and implement motion planning for production-level robotic systems.

As a Robotics Build Engineer, you'll assemble and test humanoid robotic subsystems, troubleshoot issues, and support rapid prototyping while collaborating with supply chain teams.

The Robotics Test Engineer will design and execute test suites, build automation frameworks, and manage test requests to ensure quality in autonomous vehicle software. Responsibilities include coordinating field tests, analyzing results, and improving testing processes.

Responsible for developing software infrastructure for device management and mission control in robotic systems. Optimize real-time performance and ensure communication between cloud and robots.

Design and develop core robotics libraries and applications for AI-powered robots, leading R&D projects and supporting software deployment in production.

As a Robotics Software Engineer, you will develop software for semiconductor fabrication tools, tackling challenges like sensor fusion and motion control while bridging software and hardware domains.

Lead the development of a robotics data platform, focusing on data enablement, API architecture, and mentoring engineers in complex system designs.

The Senior Robotics Integration Engineer will work on hardware and software integration for robotic systems, optimizing mechatronic systems and ensuring safety and reliability in deployments.

Develop and execute test cases for robotic systems, troubleshoot issues, and ensure quality improvement in collaboration with various teams.

The Senior Robotics Manipulation Engineer will address manipulation and control challenges by developing models and improving software in robotic systems.

As a Robotics System Engineer, you will architect large-scale software/hardware systems, gather customer requirements, and support engineering teams in testing and validation to exceed expectations.

The Robotics Test Automation Engineer will design automated test pipelines, validate robotic systems, and assist in debugging and data analysis to improve product quality.

Develop, integrate, and validate autonomy features for autonomous vehicles, lead technical executions for deployments, and debug systems across sensors and software stacks.

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

Develop and deploy state-of-the-art physical AI for outdoor robotics, focusing on perception, planning, control, simulation-driven training, multi-sensor integration, data pipelines, and GPU-optimized training and inference.

Lead development of scalable simulation and training infrastructure for robot learning. Implement high-fidelity physics, handle multimodal sensor data, build tools for large-scale RL/imitation learning, and optimize software for GPU parallelization. Help shape AI capabilities and grow into leadership roles.

The role involves developing computer vision algorithms for defect detection, optimizing ML models, and deploying solutions in a manufacturing environment.

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