About the role

Aplyr's Quick Take

This is a Software Engineering Intern role focused on developing features for NVIDIA's robot learning platform. You'll work on advanced topics like reinforcement learning and collaborate with various teams to enhance autonomous systems. It's an individual contributor role aimed at students pursuing advanced degrees in relevant fields.

Good fit

Ideal candidates are graduate students in Computer Science or Robotics with strong programming skills in Python and experience in deep learning frameworks. A background in robotics and simulation, along with a collaborative mindset, will help you thrive.

Worth noting

The role emphasizes open-source contributions and engagement with the robotics community, which could be a unique opportunity for networking. However, the posting doesn't clarify the level of mentorship or support available for interns.

Join us at NVIDIA as we redefine the future of robotics and AI! Our Isaac Lab team is on a mission to propel our flagship platform for robot learning to new heights. This is an outstanding chance to be part of an ambitious, world-class team pushing the boundaries of what's possible in autonomous systems training. You'll be immersed in a diverse and encouraging environment where innovation and collaboration are at the forefront.

What you will be doing:

Develop innovative features for our platform, such as perception-in-the-loop reinforcement learning, multi-agent / multi-task learning, VLA and RL integration.
Participate in the open-source development of Isaac Lab, engaging with the robotics industrial and research communities.
Scale training massively in the cloud while ensuring flawless performance through extensive benchmarking, profiling, and optimizations.
Collaborate with research and engineering teams across NVIDIA to enable brand new research for the next generation of humanoid robots.

What we need to see:

Currently pursuing an MS or PhD degree in Computer Science, Robotics, or a related field.
Extensive experience in software development with Python and deep-learning software stacks like Pytorch, Tensorflow, or Jax.
Proven experience in robotics and simulation workflows, including reinforcement learning, imitation learning, motion planning, and trajectory optimization.

Ways to stand out from the crowd:

Prior experience with Isaac Sim, Isaac Lab, Isaac Gym, or Mujoco.
Successfully trained a robot in simulation and deployed the policy sim-to-real.
Publications in major AI and robotics conferences.

Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
Synthesized from recent postings & public sources

What's promising

•NVIDIA leads the GPU market, crucial for gaming and AI applications.
•The company invests heavily in AI and deep learning, driving technological advancements.
•NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

•High competition in the semiconductor industry can impact market share.
•Rapid technological changes require constant adaptation and learning.
•Intense workload and high expectations may affect work-life balance.

Why NVIDIA

•NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
•The company's AI research is at the forefront of deep learning innovation.
•NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

About NVIDIA

NVIDIA

nvidia.com

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NVDA$223.96+2.27%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.