1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Build and drive application architecture for humanoid robotics in collaboration with architecture and software development teams.
- Scale deployment and integration of whole-body controller and manipulation algorithms into robotic solutions and products.
- Integrate hardware and software components and develop scalable software solutions.
- Lead profiling, benchmarking, evaluation, and verification activities.
- Provide technical guidance and strategies for resolving functional and system-performance issues.
- Collaborate with global engineering teams in the US, APAC, and Europe to deploy solutions to 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 experience developing software products involving machine learning and reinforcement learning, hands-on physical robot experience, and/or publishing in robotics conferences such as RSS, CoRL, ICRA, IROS, or NeurIPS.
- Proficiency in application development and scalability for autonomous machines and familiarity with robotics or automotive middleware frameworks.
- Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation; sim-to-real transfer of reinforcement-learning policies is a plus.
- Proficiency in Python and C/C++; GPU programming or CUDA experience is a strong plus.
- Hands-on experience with real-world humanoid robotic systems or mobile manipulators, especially loco-manipulation and dexterous-hand manipulation, is a plus.
- Experience with ROS 2, Isaac SIM, and Isaac Lab or equivalent is a plus.
- Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA is a plus.
- Open-source contributions and mentorship experience are additional differentiators.
Benefits
- Eligible for equity and benefits.
- The posting includes Level 3 and Level 4 base salary ranges and states that applications will be accepted at least until September 21, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.