Senior Software Engineer, Compute Infrastructure for Robotics Research

at Nvidia
📍 Santa Clara, United States
USD 224,000-425,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 7 Python @ 7 SQL @ 4 Spark @ 4 MLOps @ 8 TensorFlow @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4

Details

We are seeking a Senior Software Engineer to join a new team building the foundational compute infrastructure for Robotics Research. The team will work closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group and will focus on Project GR00T — NVIDIA’s initiative to build foundation models and full-stack technology for humanoid robots. The role emphasizes compute infrastructure for large-scale model training, evaluation, and data processing.

Responsibilities

  • Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics, including data jobs, training jobs, and evaluation jobs.
  • Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets.
  • Develop robust observability tools and procedures for compute infrastructure to ensure reliability and performance.
  • Collaborate with researchers to integrate innovative compute technologies into scalable training and evaluation pipelines.

Requirements

  • 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.
  • Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Deep understanding of Kubernetes and experience with Ray.
  • Experience with data frameworks and standards like SQL, Apache Spark, and LanceDB.
  • Experience with GPU acceleration and CUDA programming.
  • Strong programming skills in Python and a high-performance language such as C++ for efficient system development.

Preferred / Ways to stand out

  • Master’s or PhD 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.
  • Deep background in building and operating large-scale data infrastructure.
  • Strong experience and curiosity in frontier AI research, embodied AI, and foundation models.

Compensation and Benefits

  • Base salary range (determined by location, experience, and comparable pay):
    • Level 5: 224,000 USD - 356,500 USD
    • Level 6: 272,000 USD - 425,500 USD
  • You will also be eligible for equity and benefits (see NVIDIA benefits page).

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. NVIDIA does not discriminate on the basis of legally protected characteristics.