Top Robotics Engineer Jobs

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.

Lead development of navigation systems for underwater robots, focusing on sensor fusion and localization in GPS-denied environments while utilizing advanced filtering algorithms.

Design, develop, test, and debug features for autonomous construction equipment while optimizing controls systems and maintaining code quality standards.

Lead the design, development, and deployment of autonomous systems for heavy construction equipment while mentoring engineering teams and improving system performance.

Develops perception and autonomy software for lunar rover and robotic spacecraft platforms. Responsibilities include stereo vision, LiDAR, sensor fusion, visual-inertial odometry, hazard detection, mapping, localization, motion control, path planning, embedded optimization, flight-software integration, simulation, and automated HIL/SIL testing. The role requires modern C++, Python, Linux production experience, and collaboration across robotics, navigation, and controls 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.

Design and build software for robotic systems, focusing on perception, autonomy, control, and infrastructure. Collaborate across teams to enhance performance and reliability.

Design and optimize computer-vision and robotics ML models for constrained edge devices, build large-scale training and fine-tuning pipelines, compress and deploy models to embedded accelerators, profile on-device inference for latency and accuracy, and write maintainable Python/C++ code while staying current on state-of-the-art techniques.

Provide technical leadership for physical AI, virtual commissioning, and digital twin robotics applications. Support pre- and post-sales, perform feasibility studies, simulations, troubleshooting, root-cause analysis, and proof-of-concepts. Develop applications, improve robotics software, support vision/iRVision, and collaborate with sales and engineering teams to integrate and optimize FANUC robot solutions.

The Electrical Engineer will design, validate, and develop robotic systems, focusing on electronic systems, motor control, and collaboration with multidisciplinary teams.

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 Robotics Autonomy Engineer designs and implements motion planning and control algorithms for robotic systems, ensuring precise navigation and integration across autonomy layers, while analyzing performance and improving field deployment.

As a Robotics Software Engineer, you will develop software for robots, focusing on real-time code execution, motion planning, and optimization systems while collaborating in a team environment.

The role involves developing software for robots to enhance capabilities in vision, motion, and control, focusing on complex problem-solving.

The Robotics Infrastructure Engineer manages robot reliability, cloud infrastructure, and developer tools while collaborating with AI agents for automation and debugging tasks.

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.

The Software Engineer Intern will develop safety-critical software for robotic systems, collaborating with various engineering teams to ensure functionality and reliability.

The Technical Application Engineer, Robotics supports system integrators by providing technical guidance, installation support, training, and troubleshooting for robotic welding systems, also engaging directly with customers as needed.

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 own robotics controls testing, validation, and hardware-in-the-loop infrastructure. Define repeatability and accuracy metrics, expand automated testing, validate new hardware integrations, and diagnose failures across controls, firmware, and hardware. Build observability and diagnostic tooling, perform real-robot bring-up, and maintain engineering documentation and runbooks. The role requires strong control theory, modern C++, Python, robotics hardware experience, data analysis judgment, and cross-stack debugging skills.

Own the end-to-end development of one or more robots, from initial concepts and prototyping through manufacturing, deployment, and support. Design hardware, understand system-level tradeoffs, collaborate across teams, iterate quickly and methodically, and mentor other engineers. The role requires strong hands-on mechanical engineering ability and comfort working in fast-paced startups, labs, or technical teams.