NVIDIA
The Senior HPC AI Engineer optimizes, scales, and supports workload scheduling systems to enhance design velocity and infrastructure efficiency. This role combines expertise in scheduler systems with automation and LLM-based tooling to maintain a resilient and measurable EDA and GPU-accelerated AI compute environment. The position involves analyzing performance data, developing automation scripts, and partnering with customer teams to resolve technical challenges.
Headquarters
Santa Clara, California, United States
Company Size
10001+ employees
Founded
1993
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
NVIDIA Ignites the Next Industrial Revolution in Knowledge Work With Open Agent Development Platform
2 days ago
Nvidia CEO Says Company Is Firing Up H200 Production for China
1 day ago
Nvidia CEO Huang says company sees more than $1 trillion in sales through 2027
1 day ago
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
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
View leadership team, funding history,
and employee contacts for NVIDIA.
NVIDIA didn’t post a salary, so this is our estimate from similar listings.
12% below the average for this role
Nvidia's one of the fastest growing companies with one of the lowest valuations, says Jim Cramer
14 hours ago
Senior Hpc Ai Engineer Israel Yokneam
Coherent
HPC Infrastructure Engineer - GPU Clusters
ElevenLabs
HPC Systems Administrator
Edge Group
HPC Infrastructure Engineer
KLA
EDA Infrastructure Architect Compute and AI, Austin, Texas
Ericsson
Senior Ai Compute Engineer %E2%80%93 Hpc Gpus Distributed Training Bangalore Karnataka India
Qualcomm Incorporated