Top Robotics Engineer Jobs in San Francisco Bay Area, CA

Build and maintain a simulation platform for robotics, focusing on multi-axis motion, integration with robotics software, and delivering reliable tools for developers.

Develop and optimize large-scale simulation tools for robotics applications, ensuring performance and reliability across environments, while collaborating with cross-functional teams.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Develop and implement intelligent software for automated biomanufacturing systems, including machine interfaces, algorithm implementation, and hardware-software integration.

Join Robust AI as a Senior Robotics Software Engineer focusing on controls to develop control algorithms for autonomous robots, ensuring safety and collaboration with humans. Responsibilities include designing controllers, developing interaction methods, and validating strategies through testing.

Develop autonomous robot policies, work on hardware-software integration, create data collection methods, and refine machine learning models for robotics.

Develop intelligent robotic control algorithms, integrate with sensors, validate models, ensure system performance, and work in a fast-paced startup environment.

As a Senior Robotics Software Engineer, you will design and implement software for robotic platforms, developing algorithms for motion control and collaborating across teams to ensure system integration and testing.

The Robotics Software QA Engineer tests and develops core robotics libraries, supports software deployments, and provides on-call engineering support.

Lead design and delivery of autonomy and robotics systems: manage CI/CD, builds, deployments, configuration, and testing for hardware/software/IoT systems; develop automation for infrastructure provisioning; ensure OTA security; mentor team and manage project schedules and budgets.

Design and build scalable, fault-tolerant ML serving platforms for robotics. Optimize computer-vision and foundation-model pipelines for cloud GPUs, develop observability and monitoring, conduct architecture reviews, and lead end-to-end projects integrating research and production.

The Robotics Systems Engineer will build and maintain robotic infrastructure, data pipelines, and enhance data quality for AI applications, focusing on hands-on problem-solving and creating scalable systems.

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.

The Deployment Engineer will manage the full deployment lifecycle for retail locations, coordinate installations, troubleshoot issues, and develop automation tools to enhance deployment efficiency.

Design, maintain, and optimize the robot compute platform: OS, middleware, networking, drivers, and sensor integration. Lead OS/middleware upgrades, performance tuning, provisioning processes, testing, and release of autonomy features while collaborating with robotics and perception engineers.