Software Engineering Manager, Robotics

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you passionate about the opportunity to build the future of robotics? At NVIDIA, you have the rare chance to develop the future of Physical AI Robots, such as Humanoid Robots. Our Shanghai team is looking for a Robotics Software Engineering Manager to lead sim-first development, real-world deployment, and continuous learning, ensuring our robots become smarter over time. Join us and make a significant impact on innovative technology in a collaborative environment. What you'll be doing: Lead, mentor, and grow a high-performing team of robotics software engineers. Drive the definition, planning, and execution of projects involving real-world deployment of learned policies on complex robots. Engage in hands-on development, implementation, and deployment of real-time software stacks. Foster a culture of innovation and collaboration, supporting work such as prototypes, open-source software releases, patents, and publications. Collaborate with product, hardware, and software teams to translate engineering work into impactful products. Support career development, performance management, and recruitment of top talent. What we need to see: PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience). 7+ overall years of experience in robotics and deep learning technologies. More than 4 years of experience leading technical teams or managing groups in robotics, autonomous driving, machine learning, or related fields. Strong hands-on programming skills in Python and C++. Excellent communication, organizational, and interpersonal skills. Advanced knowledge in robot learning, including imitation or reinforcement learning, and robot perception. Experience with robot simulation tools. Ways to stand out from the crowd: Experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim). Hands-on experience with robotics simulation, sim-to-real, and real-to-sim transfer. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family