Senior Software Engineer for Robotics Research - Tooling

at Nvidia
đź“Ť Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
âś… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 7 Kubernetes @ 1 Python @ 6 SQL @ 6 CI/CD @ 4 MLOps @ 7 JavaScript @ 6 React @ 3 Node.js @ 3 PyTorch @ 1 CUDA @ 4 GPU @ 4

Details

We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This team will work closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. The near-term focus is Project GR00T, NVIDIA’s initiative to build foundation models and full-stack technology for humanoid robots. This position focuses on ML productivity tooling to make researchers more productive and GPUs more efficiently used.

You will work with a collaborative research team producing influential work on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will impact research projects and product roadmaps.

Responsibilities

  • Build highly scalable, robust, and efficient CI/CD frameworks for data-intensive workloads that require CPU/GPU heterogeneous computation.
  • Build world-class visualization tools for analyzing and optimizing datasets and compute jobs (across tens of thousands of GPUs).
  • Develop and apply AI agents to improve programming efficiency and reduce human effort in fixing job failures.
  • Collaborate with researchers to gather requirements and deliver full-stack tooling, visualization, and automation solutions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ 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 front-end and back-end programming with Python, JavaScript, SQL, or similar languages.
  • Familiarity with modern web front/back end technologies such as React and Node.js.
  • Knowledge of GPU technologies like CUDA and NCCL.
  • Bonus experience: PyTorch, Ray, Kubernetes.

Ways to stand out

  • Master’s or PhD in Computer Science, Robotics, Engineering, or a related field.
  • Demonstrated Tech Lead experience coordinating engineering teams and driving projects from conception to deployment.
  • Strong experience building and operating large-scale tooling infrastructure in production.
  • Strong background and curiosity in frontier AI research.

Compensation and benefits

  • Base salary will be determined based on your location, experience, and pay of employees in similar positions.
  • Base salary range: 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.

Additional information

  • Applications for this job will be accepted at least until October 5, 2025.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.