Senior Software Engineer, Humanoid Robotics

Join NVIDIA's Solution Engineering team that is shaping the future of autonomous machines. Our goal is to build and deploy scalable robotic solutions and enable the next generation of AI robots.

You will help craft the application software architecture by working closely with external partners developing on our robotics platform and the collaborations across multiple teams within NVIDIA working on autonomous machines. You will also advance and refine the overall functional capability and quality of our solution, focusing on integration challenges and applying deep analytical skills to tease through the complexity of the system to arrive at effective and optimum solutions.

Responsibilities:

• Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams.
• Scale the deployment and integration of robust and performant implementations of new technologies spanning whole body controller and manipulation algorithms into solutions and products.
• Integrate hardware and software components efficiently and develop scalable software solutions. Lead profiling, benchmarking and evaluation activities for verification.
• Provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
• Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

Requirements:

• 5+ years of work-related experience in software development related to robotics.
• Bachelor's, Master's or equivalent experience in computer science, robotics, computer engineering, or a related field.
• Proven track record in developing software products in the domains of machine learning and reinforcement learning, and hands-on physical robot experience, and/or publishing in robotics conferences (RSS, CoRL, ICRA, IROS, NeurIPS, etc.).
• Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
• Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation of robotic systems, with hands-on experience on sim-to-real transfer of RL policies being a plus.
• Proficient in Python and C/C++, with experience in GPU programming or CUDA being a strong plus.
• Capable of adapting quickly to new technologies and platforms.
• Ability to adapt in a fast-paced development lifecycle and multi-functional organization.

Ways to stand out from the crowd:

• Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks.
• Experience with ROS 2, Isaac SIM and Isaac Lab or equivalent.
• Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA.
• Contributions to or ownership of open-source project and mentorship experience.