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NVIDIA
NVIDIA

Developer Technologies Engineer, Robotics Reinforcement Learning

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Automation
Deep Learning
Python
+20

Visa

U.S. visa required

Permanent role
a day ago
Apply now

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

We are seeking a software engineer to join the DevTech Enterprise Platform team and help drive adoption of our robot learning tools with developers and robotics manufacturers. Our mission is to become the industry's leading tool, redefining how autonomous systems are trained and shaping the future of robotics and AI. You will jump in and help customers and software developers succeed with our frontier platforms with direct engineering support.

What You’ll Be Doing

  • Working with our partner companies, ensure developer and customer success with our toolsets, such as perception-in-the-loop reinforcement learning , learning from demonstration via tele-operation, and multi-agent training.
  • Work with our partners to automate their workflows and scale them massively in the cloud, while ensuring the highest performance with extensive benchmarking.
  • Collaborate with research and engineering teams all across NVIDIA, such as GEAR, to enable the next generation of humanoid robots.
  • Running physical applied research experiments in our robotics laboratory.

What We Need To See

  • BS, MS, or PhD degree in Computer Science, Mechanical or Controls engineering, or equivalent experience.
  • 8+ years experience in software development with Python and the deep-learning software stack ( Pytorch , Tensorflow, Jax, etc.).
  • Experience in robotics and simulation workflows, including reinforcement learning , imitation learning , motion planning, and trajectory optimization.
  • Experience with Isaac Sim , Omniverse, USD , MJCF , URDF , CAD formats

Ways To Stand Out From The Crowd

  • Prior experience with Isaac Lab , Isaac Gym , or Mujoco .
  • Distributed system engineering experience, with knowledge of Docker, Kubernetes, AWS/Azure/GCP.
  • C++ and performance profiling experience.
  • You have already trained a robot in simulation and deployed the policy sim-to-real .
  • Extensive experience with physical robotics systems, industrial automation, manufacturing or machining.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest fields such as virtual reality, deep learning, artificial intelligence, and more. Come join us at NVIDIA!

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . _NVIDIA accepts applications on an ongoing basis.

_NVIDIA is committed to fostering a diverse 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.

JR1998201

About NVIDIA

👥10000-
📍Santa Clara, CA
🔗Website

NVIDIA benefits and support

🏥Health insurance
🌴Retirement pension
🌞Healthy living stipend
📕Learning stipend
🍼Maternity/paternity leave
⌚️Flexible working hours
📊Stock options
🗺Company retreat
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