Senior Software Engineer - Robotics

Reposted 3 Hours Ago
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Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop innovative solutions for humanoid robots, integrating NVIDIA robotics products while ensuring deployment and continuous learning in a collaborative environment.
Summary Generated by Built In

As a Senior Software Engineer, Robotics at NVIDIA, you have the rare opportunity to develop the future of Physical AI Robots, such as Humanoid Robots. By driving sim-first development, real-world deployment, and continuous learning, you will ensure our robots become smarter over time. This role is ideal for someone who thrives in a collaborative environment and wants to make a significant impact on innovative technology.

What you will be doing:

  • Bring the latest advancements in Physical AI to both simulated and real humanoid robots by building a humanoid reference platform, showcasing the power of NVIDIA's technology.

  • Collaborate across team boundaries to integrate NVIDIA robotics products such as Jetson Thor, Isaac GR00T, and Isaac Lab into one comprehensive solution for humanoid robots.

  • Drive real-world deployment of highly reliable coordinated robotics applications: "It's not done until it works on the robot."

What we need to see:

  • Master's degree in Robotics, Computer Science, Computer Engineering, or a related field (or equivalent experience).

  • 8+ years of relevant robotics software engineering experience.

  • Proven experience in building and deploying robust, reliable, and performant robotics stacks for complex, AI-powered robots; from high level architecture to implementation details.

  • Proficiency in Python and C++, CUDA, and middleware. Willingness to learn new languages and tools as needed.

  • Experience in robot learning, including reinforcement and imitation learning, and sim-to-real transfer of learned policies.

  • Demonstrated ability to influence and energize multi-functional teams without formal authority. This includes building consensus, driving initiatives forward, and crafting positive momentum amid competing priorities or difficult technical problems.

  • Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies, and platforms.

  • Enthusiasm for providing guidance and mentorship.

  • Excellent communication, organizational, and interpersonal skills.

Ways to stand out from the crowd

  • Background with NVIDIA robotics tools (Isaac Lab, Isaac Gym, Isaac ROS) and hardware (Jetson platform).

  • Experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).

  • Experience with humanoid robot whole-body control, manipulation, or locomotion.

  • Track record of building mature robotics solutions.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

Top Skills

C++
Cuda
Isaac Gr00T
Isaac Lab
Isaac Sim
Jax
Mujoco
Nvidia Jetson
Python
PyTorch
TensorFlow
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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