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NVIDIA

Senior Performance Modeling Engineer

NVIDIA is hiring a Senior Performance Modeling Engineer. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 2,600+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

NVIDIA networking is a world-leader in building the most powerful supercomputers in the world, which drive the AI and HPC industry. These rely on high performant network switch ASICs which connect GPUs and CPUs at scale for efficient data transfer and compute. We are looking for a performance modeling engineer to join the team and shape, optimize, and explore our future networking chips and solutions. The role is cross-disciplinary, collaborating with hardware, software, and research teams across the wider NVIDIA. You will lead workgroups towards technical solutions that will influence the heart of cutting-edge networking products. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation of networking solutions.


What you'll be doing:

  • Thoroughly understand our networking solutions across all performance related aspects
  • Develop a C++ simulation model to define and evaluate architectural options for our next generation of networking products
  • Understand different trade-offs related to solving performance bottlenecks
  • Collaborate and lead technical solutions within architecture, uarch, hardware and software teams.
  • Analyze and model the communication patterns of key DL, GAI, inference, and training applications
  • Explore innovative ideas to improve and optimize our chip systems performance.

What we need to see:

  • BSc/MSc in Computer Science, Electrical Engineering, from a known university.
  • Experience in Chip deign projects, understanding the challenges of HW uarch impelementations
  • Excellent verbal and written communication skills, orchestrating cross teams activities
  • High level of ownership and the ability to drive solutions and initiatives.
  • Proficiency in C++ and Python
  • 5+ years of hands-on experience
  • Strong debug skills

Ways to stand out from the crowd:

  • Master's degree in Electrical Engineering, Computer Science or related technical field.
  • Demonstrated ability to innovate and lead new technologies leading to product impact.
  • Experience with NVLink/Ethernet/IB technologies.

How we rate this

Senior Performance Modeling Engineer at NVIDIA rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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