Senior Software Engineer - Computer Vision and VLM Deep Learning

Posted 3 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
184K-357K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Conduct research and design algorithms for geometric computer vision and language models, deploying them on humanoid robots and collaborating across teams.
Summary Generated by Built In

We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to humanoid robots. The Isaac team is looking for a robotics deep learning expert to help with this revolution. In this role, you will be working on imbuing humanoid robots with geometric awareness, semantic understanding, and natural language intelligence. Come join us to push the boundaries of robotics and enable the next generation of robotics!

What you’ll be doing:

  • Conduct applied research and design innovative algorithms in the space of geometric computer vision and video/vision-language models.

  • Deploy algorithms on real humanoid robots to gauge sim-to-real transfer of models.

  • Work hand-in-hand across multiple engineering and research teams to enable foundation models on humanoid robots.

  • Constantly learn and explore unfamiliar technologies.

What We Need To See:

  • Masters in Computer Science, Robotics, Deep Learning, or other related fields (or equivalent experience).

  • 8+ years of algorithm development/research experience and relevant work/research experience in one or many of the following areas: Geometric computer vision models, semantic understanding models, vision-language models, foundation models, 3D-LLMs, video generative models, or diffusion algorithms.

  • Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in modern software development practices (version control, testing, CI/CD).

  • Excellent communication skills and the ability to collaborate efficiently in a cross-functional, distributed team environment.

  • Proficient in C++ and Python.

  • You have a thirst and ability to learn and adapt to new technologies.

Ways To Stand Out From The Crowd:

  • Ph.D. in Computer Science, Robotics, Deep Learning, or other related fields.

  • Publications in top-tier AI conferences or contributions to open-source projects.

  • Hands-on experience with running algorithms on real-world robotic systems.

  • Experience with vision-language-action models.

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you!

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 October 25, 2025.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++
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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