AI Performance and Efficiency Engineer - New College Grad 2026
NVIDIA
About this role
An AI/ML Performance and Efficiency Engineer at NVIDIA focuses on improving efficiency for researchers using GPU clusters by identifying and addressing infrastructure and application bottlenecks. The role partners with customers and cross-functional engineering teams to deliver scalable solutions across the stack that accelerate AI/ML research and reduce compute costs.
Skills
Qualifications
About NVIDIA
nvidia.comNVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
Recent company news
NVIDIA NewsroomNVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform
2 days ago
Bloomberg.comNvidia CEO Says Company Is Firing Up H200 Production for China
1 day ago
Yahoo FinanceNvidia CEO Huang says company sees more than $1 trillion in sales through 2027
1 day ago
CNBCNvidia's one of the fastest growing companies with one of the lowest valuations, says Jim Cramer
14 hours ago
Fast CompanyNvidia is reskinning games with AI. Gamers are angry about it, and wrong
1 day ago
About NVIDIA
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for NVIDIA.
Salary
$108k – $196k
per year