Senior DGX AI Cloud Performance Analysis Tools 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 ?

Python @ 4 TensorFlow @ 4 Performance Optimization @ 4 Data Analysis @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4

Details

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our 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. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking excellent software engineers to design and develop tools for AI application performance analysis. Your work will enable AI researchers to work efficiently with a wide variety of DGXC cloud AI systems as they seek out opportunities for performance optimization and continuously deliver high quality AI products. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain.

Responsibilities

  • Develop AI performance tools for large-scale AI systems providing real time insight into application performance and system bottlenecks.
  • Conduct in-depth hardware-software performance studies.
  • Define performance and efficiency evaluation methodologies.
  • Automate performance data analysis and visualization to convert profiling data into actionable optimizations.
  • Support deep learning software engineers and GPU architects in their performance analysis efforts.
  • Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis.

Requirements

  • Minimum of 8+ years of experience in software infrastructure and tools.
  • BS or higher degree in computer science or similar (or equivalent experience).
  • Adept programming skills in multiple languages including C++ and Python.
  • Solid foundation in operating systems and computer architecture.
  • Outstanding ability to understand users, prioritize among many contending requests, and build consensus.
  • Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members.

Nice to have / Ways to stand out

  • Experience working with large-scale AI clusters.
  • Experience with CUDA and GPU computing systems.
  • Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, JAX/XLA, etc.).
  • Deep understanding of the software performance analysis and optimization process.

Compensation & Benefits

  • Base salary ranges: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • You will also be eligible for equity and benefits. See NVIDIA benefits for details.

Additional Information

  • Applications for this job will be accepted at least until August 25, 2025.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.