High-Performance LLM Training Engineer - New College Grad 2026 jobs in United States
info-icon
This job has closed.
company-logo

NVIDIA · 8 hours ago

High-Performance LLM Training Engineer - New College Grad 2026

positionSanta Clara, CA
timeFull-time
remoteOnsite
seniorityNew Grad, Entry Level
money$124K/yr - $196K/yr

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads. The role focuses on optimizing NVIDIA’s high-performance LLM software stack for high-performance training on GPUs and involves implementing production-quality software across multiple layers of NVIDIA's deep learning platform.

Artificial Intelligence (AI)SemiconductorConsumer GoodsHardwareSoftwareAppsAI InfrastructureConsumer ElectronicsFoundational AIGPUVirtual Reality
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms
Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks
Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks
Build and support NVIDIA submissions to the MLPerf Training benchmark suite
Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies
Build tools to automate workload analysis, workload optimization, and other critical workflows

Qualification

Deep learningNeural networksC++PythonCUDAComputer architecturePerformance analysisPerformance optimizationGPU architectureWorkload analysisWorkload optimizationProduction-quality software

Required

MS in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience)
Strong background in deep learning and neural networks, in particular training
A deep background in computer architecture and familiarity with the fundamentals of GPU architecture
Proven experience analyzing and tuning application performance & processor and system-level performance modeling
Programming skills in C++, Python, and CUDA

Benefits

Equity
Benefits

Company

NVIDIA

twittertwittertwitter
Glassdoor4.6
company-logo
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

leader-logo
Jensen Huang
Founder and CEO
linkedin
leader-logo
Michael Kagan
Chief Technology Officer
linkedin

Recent News

legacy.thefly.com
Mixed options sentiment in NVIDIA with shares up 1.79%
2026-02-12
BizWatchNigeria.Ng
Nvidia Dethrones Tech Kings: Chipmaker Becomes World’s Most Valuable Company
2026-02-12
Livemint.com
Indian stock market: 10 key things that changed for market overnight - Gift Nifty, US nonfarm payrolls to gold prices
2026-02-12
Company data provided by crunchbase