Senior Software Engineer, Compute Infrastructure for Robotics Research

at Nvidia
USD 148,000-287,500 per year
SENIOR
âś… On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 7 Python @ 7 SQL @ 4 Spark @ 4 MLOps @ 6 TensorFlow @ 4 PyTorch @ 4 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, and this position focuses on compute infrastructure.

Responsibilities

  • Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics, including data jobs, training jobs, evaluation jobs, and more.
  • Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets.
  • Develop robust observability tools and procedures for the 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.
  • 5+ 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.

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.
  • Deep background building and operating large-scale data infrastructure.
  • Strong experience and curiosity in frontier AI research.

Compensation & Other Details

  • Base salary range (Level 3): 148,000 USD - 235,750 USD.
  • Base salary range (Level 4): 184,000 USD - 287,500 USD.
  • You will also be eligible for equity and benefits (link to NVIDIA benefits referenced in original posting).
  • Applications for this job will be accepted at least until October 12, 2025.

About the Team & Company

You will work with a collaborative research team producing work on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Contributions will impact research projects and product roadmaps. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.