Top Robotics Engineer Jobs

The Robotics QA/QC Engineer will validate and test robotic systems through hands-on testing, monitor for issues, and collaborate with engineering teams to ensure quality and safety prior to deployment.

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

Own a portfolio of customer sites running Tutor robots: diagnose software and hardware issues, build scripts/tooling and playbooks to automate recurring work, partner with engineering on fixes, track fleet health, and maintain customer relationships while spending onsite and remote time.

Lead the design and development of robotic automation systems in manufacturing, collaborate with teams, integrate software and hardware, and improve robotic systems.

Develop and maintain robotics software across perception, planning, control, and hardware drivers. Implement motion and trajectory planning, inverse kinematics, real-time control and feedback, localization and navigation for mobile platforms, and integrate sensors and cameras. Combine classical methods with learning-based approaches and operate software on Linux, ensuring reliability, testing, and deployment to live robotic cells.

First-line technical responder for a fleet of robotic kitchens: troubleshoot hardware/software issues, monitor Datadog, triage Jira tickets and phone cases, recreate faults in lab, escalate to engineering, and produce clear SOPs and documentation for field technicians.

Lead design, development, verification, and test of mixed-signal embedded electronics for robotics products. Own schematics, component selection, PCB collaboration, bring-up, EMI/ESD compliance, test plans, and production handoff while mentoring junior engineers.

Responsible for developing drivers, adapters, and middleware to connect orchestration software to PLCs, industrial robots, and motion systems. Design and implement industrial protocols, write high-performance C/C++/Go code on Linux, perform low-level socket diagnostics and packet inspection, and collaborate with architecture and controls teams to ensure reliable device-level communication.

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.

Responsible for design, planning, and management of projects, ensuring customer satisfaction for automation and robotics systems. Requires troubleshooting, programming, and customer training while maintaining quality and efficiency.

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

Design, customize, and deploy robotic applications for industrial use. Debug application-level issues, optimize motion planning and perception, develop task workflows and user tools, conduct onsite testing, provide technical support and training, and document workflows and user guides.

Establish and operate a robotics research lab in San Jose, translate experiments into physical setups, collect demonstration data, train and deploy learned policies on real robots, build software pipelines, document procedures, follow regulations and company policies, and travel as needed.

Design and implement near real-time controls, motion planning, and networking systems for deployed robots. Optimize stacks for high-frequency data, tune drivers/kernels/middleware for real-time performance, and build telemetry and tooling for latency measurement, debugging, and fault detection. Collaborate with electrical, mechanical, autonomy, perception, and deployment teams to ensure safe, low-latency, and reliable robot operation.

Lead the development of robot learning models, design simulation environments, optimize policies for real-world robots, and contribute to data lifecycle management.

Design, implement, and test hard real-time algorithms, state machines, and application logic for a robotic medical platform. Develop C++/Python production code on Linux and RTOS, collaborate with cross-functional teams, contribute to testing and simulation environments, participate in design reviews, and ensure safety-critical software quality.

As Robotics & Automation Project Engineer, you will ensure reliability of robotic systems, diagnose failures, implement improvements, and support operations across manufacturing environments.

Lead cross-functional engineering teams to deliver robotic vehicle platforms: define technical approach, oversee subsystem and platform design, integration, prototype builds, testing, and validation. Approve design changes, manage technical risks, ensure quality, schedule, customer satisfaction, and profitability while supporting program management on financials and deploying engineering best practices.

Design and maintain robotics software for sensor integration (GNSS, camera, IMU, LiDAR), improve autonomy for row navigation, build on-edge perception and data processing, debug hardware-software issues, and support field deployments and operations documentation.

As a Founding Robotics Software Engineer, you will develop software for reliable robot operations, optimize algorithms, and deploy solutions in various environments.

As a Robotics ML Research Engineer, you will develop algorithms for robot manipulation, lead software infrastructure, and innovate in robotics learning research.

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.

The Robotics Software Engineer will design and implement robotic control interfaces, enhance system reliability, and support customer installations. Experience in robotics and software development is crucial.

Translate customer use cases into deployed robotic solutions: scope projects, design and prototype grippers/EOAT and fixtures, validate work-cells, debug systems, and collaborate on AI model deployment and data-collection strategies to drive robust field performance.

Design, build, and maintain automated test plans, fixtures, and infrastructure across unit, integration, system, and hardware-in-the-loop layers. Extend CI/CD pipelines, define quality metrics and KPIs, track coverage and failures, and participate in design/code reviews to improve observability, testability, and reliability of the robotics software stack.