1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Work with robotics partners to adopt, extend, and scale NVIDIA simulation technologies.
- Build and optimize workflows for robot rigging, rigid and deformable-body physics, multi-solver integration, rendering, sensor simulation, and synthetic data generation.
- Diagnose integration and performance bottlenecks across simulation, rendering, data movement, accelerated computing, and large-scale workloads.
- Lead technical evaluations, proofs of concept, workshops, and reference implementations.
- Validate hybrid physics-based and neural-model approaches for learned-policy workflows and sim-to-real deployment.
- Collaborate with NVIDIA teams and customers to provide product feedback, shape roadmap priorities, and create reusable guidelines.
Requirements
- Bachelor’s, master’s, PhD, or equivalent experience in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.
- At least 5 years of hands-on experience building robotics simulation applications.
- Deep expertise with robotics simulation platforms such as Isaac Sim, MuJoCo, Gazebo, or Drake, and with physics, rendering, sensor modeling, or robot rigging.
- Familiarity with ROS 2 and robotics description formats including OpenUSD, URDF, or MJCF.
- Proficiency in Python or C++, including API integration and distributed software systems.
- Understanding of GPU-accelerated computing applied to robotics simulation and machine learning workflows.
- Strong communication and collaboration skills.
- Preferred experience includes NVIDIA simulation technologies, Isaac Lab, large-scale reinforcement learning, data generation, video and data reconstruction, industrial manipulation, sim-to-real techniques, and production work with robotics organizations.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and level; the stated base salary ranges are $152,000-$241,500 for Level 3 and $184,000-$287,500 for Level 4.
- Applications will be accepted at least until September 15, 2026.
- This posting is for an existing vacancy.
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.