Top Robotics Engineer Jobs in Los Angeles, CA

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

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.

Design and develop the mechanical aspects of data-center robotics including end effectors, docking, and robot-plant interfaces. Rapidly prototype, test to failure, instrument trials, and productionize hardware with DFM, reliability, and spare strategies while collaborating closely with controls and software teams.

Design and engineer robot controls for data-center robotics: motion, safety, and facility integration. Own control-stack integration (fleet management, dispatch, telemetry), design safety architecture, commission and debug systems on-site, and meet availability targets.

As a Site Reliability Engineer, you'll ensure robotics system reliability, build telemetry integration, and develop tools for diagnostics and automation, collaborating with engineering teams for enhanced production reliability.

The role involves developing algorithms for robotic task and motion planning, collaborating with engineers, and enhancing software solutions for robotics systems.

Develop on-vehicle and simulation software across the autonomy stack: planning behaviors, sensor and payload integration, embedded/vehicle platforms, realistic UxS simulation, and electronics prototyping. Ensure reliable, testable code and support onsite test/integration events (up to 25% travel).

Develop and execute test plans for robotic systems across simulation, subsystems, and field deployments. Create automated tests, analyze results, document defects, and collaborate with cross-functional teams to drive integration, reliability, and continuous improvement of hardware and software.

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

Design, implement, and optimize robotics and machine-control software for industrial additive manufacturing and automated production. Build real-time, reliable control systems integrating robots, sensors, vision, PLCs, and factory equipment. Lead architecture, troubleshoot integrations, improve throughput and uptime, and collaborate with cross-functional engineering teams to deploy production-ready automation solutions.

Develop and optimize robotics task and motion planning and computer vision software. Implement algorithms for symbolic task planning, kinematics, collision detection, optimization, and constraint satisfaction. Integrate and test planning and vision components, maintain development best practices, and collaborate across teams to deliver robust robotic software.

Design, test, and optimize electromechanical systems and motor control firmware. Specify and tune BLDC motors, harmonic drives, and gearboxes. Implement FOC firmware on microcontrollers and integrate industrial communications (EtherCAT, CAN). Collaborate with mechanical engineers on joint design and thermal management to improve efficiency and torque density.

Develop and evaluate high-resolution tactile sensing and dexterous manipulation systems by processing tactile and force-torque data, implementing slip-detection and compliant control, training multi-fingered grasping policies, integrating solutions into robotic platforms, and conducting experiments to validate performance.