Senior DGX Cloud AI Infrastructure Software Engineer

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Prometheus @ 3 Python @ 6 Distributed Systems @ 4 TensorFlow @ 4 Hiring @ 4 Communication @ 4 Debugging @ 7 API @ 4 LLM @ 4 PyTorch @ 4 GPU @ 4

Details

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and data infrastructure tools and services. The objective is to deliver a stable, scalable environment for AI researchers, providing the necessary resources and scale to foster innovation.

Responsibilities

  • 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, 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.

Requirements

  • 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.
  • Familiarity operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus, Loki).
  • Proficiency in programming languages such as Python, C/C++, scripting languages.
  • Excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness.

Ways to Stand Out From the Crowd

  • Experience working with large scale AI clusters.
  • Strong understanding of NVIDIA GPUs, network technologies (RDMA, IB, NCCL).
  • Good understanding of deep learning frameworks internal workings such as PyTorch, TensorFlow, JAX, and Ray.
  • Experience with root cause analysis of failures at datacenter scale.
  • Strong background in software design and development.

About NVIDIA

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, NVIDIA's invention, serves as the visual cortex of modern computers and is central to its products and services. NVIDIA accelerates the next wave of artificial intelligence and values diversity and equal opportunity in hiring.

Compensation & Benefits

The base salary range is 184,000 USD - 356,500 USD, determined based on location, experience, and market benchmarks. Employees are also eligible for equity and benefits.