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NVIDIA offers highly competitive salaries and a comprehensive benefits package.
This information is not specified in the job description.
Candidates need a BS, MS, or PhD in Computer Science or equivalent, extensive Python and deep-learning stack experience (Pytorch, Tensorflow, Jax), 5+ years in robotics and simulation including reinforcement learning and motion planning, expertise in robotics simulation platforms and physics tuning, plus strong software engineering practices with Git, CI/CD, Docker, and profiling tools.
NVIDIA provides a diverse, encouraging environment where everyone is inspired to do their best work, with forward-thinking and hardworking people.
Stand out with prior experience in Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco, having trained a robot in simulation and deployed sim-to-real, or publications in major AI and robotics conferences.
Designs GPUs and AI computing solutions
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.