Datacenter Performance Model Engineer jobs in United States
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NVIDIA · 1 day ago

Datacenter Performance Model Engineer

positionSanta Clara, CA
timeFull-time
remoteOnsite
senioritySenior Level
money$152K/yr - $242K/yr
date5+ years exp

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Datacenter Performance Model Engineer to develop performance modeling and prediction tools for AI workloads in GPU clusters. The role involves building production tools, automating workflows, and collaborating with hardware and software architects to enhance features based on real-world use cases.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Build performance modeling and prediction tools for AI workloads at Data-center scale
Develop production tools and workflows used by multiple teams both within NVIDIA and its customers
Automate workflows including search for the most efficient configurations over millions of parameters
Partner with HW and SW architects to propose new features or improve existing features with real world use cases

Qualification

C++PythonDeep Learning frameworksGPU cluster schedulingNVIDIA GPUsCUDA ProgrammingLinux device driversComputer architectureCustomer-facing communicationProblem-solving skillsContinuous learning

Required

BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
Strong software skills in design, coding (C++ and Python), analytical, and debugging
Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference
Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking
Experience with NVIDIA GPUs, CUDA Programming, and Networking
Motivated self-starter with strong problem-solving skills and customer-facing communication skills
Passion for continuous learning. Ability to work concurrently with multiple global groups

Preferred

Proven SW engineering experience experience in deploying SW at Dataceter scale
Solid experience in large AI job performance analysis for training/inference workload
Knowledge of Linux device drivers and/or compiler implementation
Knowledge of GPU and/or CPU architecture and general computer architecture principles

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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