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.

Design and build distributed software systems for the Matter Compiler, coordinating with hardware and software at multiple levels and ensuring real-time constraints are met.

Deploy and integrate autonomous vehicle software, configure sensors, conduct testing, and provide field support for hardware and software issues.

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.

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.

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

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.

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.

Design and implement perception systems for robotic platforms, develop 3D perception pipelines, and optimize GPU vision systems for reliability and robustness in various environments.

Design and maintain the distributed software architecture for robotic platforms, including middleware, data pipelines, and performance optimization for real-time systems.

As a Robotics Computer Vision Engineer, you will design and implement perception systems, develop 3D perception pipelines, and integrate vision with robotics systems, ensuring effective performance in varied environments.

Lead development and deployment of robotic system software: write and test C++/Python code, test algorithms on hardware, automate robot bring-up and CI, build ML pipelines, manage complex project schedules and budgets, mentor junior engineers, and collaborate with internal and external stakeholders to deliver production-ready autonomy solutions.

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.

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.

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.

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

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

The Solutions Engineer will engage with clients, develop technical solutions in Robotics, and guide customer pilots, ensuring satisfaction and driving commercial growth.