Job description

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. Our team is hands-on, passionate about practical results, and values diversity. 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 to effective and optimum solutions. What you'll be doing: • 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. What we need to see: • 5+ years of work related experience in software development related to robotics. • Bachelors, Masters 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 lifecycles and multi-functional organizations. 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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.
5+ years of work related experience in software development related to robotics.
Bachelors, Masters or equivalent experience in computer science, robotics, computer engineering, or a related field.
Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
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 lifecycles and multi-functional organizations.
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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: eightfold
Effort: medium