Top Robotics Engineer Jobs

The Robotics Controls Engineer will develop advanced motion control systems for robotics, integrating software and hardware across multiple disciplines while implementing effective control algorithms and ensuring safety and efficiency.

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.

The Senior Software Engineer will develop and support software for robotic manipulation, focusing on motion planning, kinematics, and integration with robotic systems, while providing mentorship to junior engineers.

Develop and implement control systems and software architectures for robotics, focusing on real-world manipulation tasks and integration with warehouse management systems.

The Robotics & Controls Engineer will develop and test algorithms for electromechanical systems, implement C++ software, and assist with regulatory filings.

The role involves developing simulation tools for surgical robotics, performing analyses, and collaborating with design teams to ensure system performance and compliance.

Develop and maintain software for grasping in robotics, integrate ML models, collaborate with a technical team, and participate in simulation testing.

Lead the development of a robotics data platform, focusing on data enablement, API architecture, and mentoring engineers in complex system designs.

The Senior RF Electrical Engineer will lead design and testing of avionics systems, mentoring junior engineers, and ensuring high reliability in product development.

The Senior Robotics & Controls Engineer will develop robotic algorithms, collaborate with interdisciplinary teams, and guide junior engineers, focusing on improving healthcare outcomes through robotics.

Lead the design, development, and testing of advanced robotic systems, focusing on control algorithms, electronic circuits, and integration for defense applications.

The Robotics Integration Engineer will integrate and validate system components, execute tests, and ensure reliable humanoid robot performance across hardware, software, and AI systems.

The role involves designing complex automated systems, managing technical documentation, and supporting project lifecycles from design to production.

The Senior Software Engineer will define and implement systems for software-defined manufacturing, focusing on robotics and scalable software solutions.

Design and implement algorithms for motion planning and control of industrial robots, optimize software systems, and mentor junior developers.

The Robotics Navigation Engineer will design and implement navigation algorithms for mobile robots, improve navigation systems, and work on software development and testing.

The role involves technical leadership in developing and integrating autonomous systems for logistics, including design, collaboration with teams, and mentoring.

Design and optimize middleware and runtime systems for robotic platforms, ensuring system stability and user experience through CI/CD and deployment pipelines.

The Reliability Test Engineer will develop and execute testing protocols, analyze data, and maintain test equipment for robotic systems to ensure product reliability and compliance with standards.

Lead the development of NVIDIA's Robotics Platform, focusing on performance and reliability. Guide technical efforts, build reference applications, and optimize for robot deployment. Collaborate with teams to ensure cohesive experiences and establish engineering guidelines.

The Chief Engineer will lead technical project execution in robotics, ensuring quality and customer satisfaction while managing cross-functional teams and deliverables.

The Senior Software Engineer will develop scalable CI/CD frameworks and visualization tools for Robotics Research, focusing on AI productivity and collaborating with researchers.

As a Full Stack Software Engineer, you will design backend infrastructure for robotics, collaborate with engineers, build software for edge and cloud environments, and ensure system reliability through testing.

Design and develop backend infrastructure for a robotics platform, collaborate on hardware-software interfaces, and manage cloud infrastructure primarily on AWS.

The role involves developing and implementing ML algorithms for surgical robotics, optimizing models for real-time performance, mentoring team members, and collaborating with software teams on robotic task automation.