Nvidia Senior Software Engineer Compute Infrastructure Robotics Research 

United States, Texas 

362105695

What you’ll be doing:

• Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics. These will include data jobs, training jobs, evaluation jobs, and so forth.

• Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets.

• Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance.

• Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines.

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

• Experience with ML frameworks like PyTorch, JAX, or TensorFlow.

• Deep understanding of Kubernetes, experience with Ray

• Experience with data frameworks and standards like SQL, Apache Spark, LanceDB

• Experience of 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 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

• Deep background at building and operating large-scale data infrastructure

• Strong experience and curiosity in frontier AI research