Nvidia Senior DGX Cloud AI Infrastructure Software Engineer 

United States, Texas 

291017378

What you’ll be doing:

• Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure.

• Develop and optimize tools to improve infrastructure efficiency and resiliency.

• Root cause and analyze and triage failures from the application level to the hardware level

• Enhance infrastructure and products underpinning NVIDIA's AI platforms.

• Co-design and implement APIs for integration with NVIDIA's resiliency stacks.

• Define meaningful and actionable reliability metrics to track and improve system and service reliability.

• Skilled in problem-solving, root cause analysis, and optimization.

What we need to see:

• Minimum of 8+ years of experience in developing software infrastructure for large scale AI systems.

• Bachelor's degree or higher in Computer Science or a related technical field (or equivalent experience).

• Strong debugging skills and experience in analyzing and triaging AI applications from the application level to the hardware level.

• Proven track record in building and scaling large-scale distributed systems.

• Experience with AI training and inferencing and data infrastructure services.

• Familiar in operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).

• Proficiency in programming languages such as Python, C/C++, script languages

• Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential.

Ways to stand out from the crowd:

• Experience in working with the large scale AI cluster

• Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL)

• Good understanding on DL frameworks internal PyTorch, TensorFlow, JAX, and Ray

• Experience and root cause analysis of failures and datacenter scale

• Strong background in software design and development.