We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This new team will work very closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. The near term focus is Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. This particular position will focus on ML productivity tooling – we are looking for people who have high agency and love creating tools to make researchers more productive and GPUs more efficiently used.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will have a significant impact on our research projects and product roadmaps.
What you’ll be doing:
Build highly scalable, robust, and efficient CI/CD frameworks. The workload is data intensive and requires CPU/GPU heterogeneous computation.
Build world-class visualization tools for analyzing and optimizing for all our datasets and compute jobs (across 10s of thousands of GPUs)
Develop and apply AI agents to significantly improve programming efficiency within the team, and decrease the human effort in fixing job failures
Overall, collaborate with researchers to gather requirements, understand tooling / visualization / automation needs, and deliver full-stack solutions that move the needle with speed of light.
What we need to see:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
12+ years of full-time industry experience in large-scale MLOps and AI infrastructure.
Strong experience in full-stack software development, with a focus on building CI/CD or visualization tools.
Proficient in both front-end and back-end programming with Python, JavaScript, SQL, or similar.
Familiar with modern web front/back end technologies like React, Node.js.
Knowledge of GPU technologies like CUDA and NCCL
Bonus: experience with PyTorch, Ray, Kubernetes
Ways to stand out from the crowd:
Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field
Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment
Strong experience at building and operating large-scale tooling infrastructure in production
Strong background and curiosity in frontier AI research
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
- 12+ years of full-time industry experience in large-scale MLOps and AI infrastructure
- Strong experience in full-stack software development, focusing on CI/CD or visualization tools
- Proficient in both front-end and back-end programming
- Familiarity with modern web front/back end technologies
- Knowledge of GPU technologies
- Experience with PyTorch, Ray, Kubernetes
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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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