Senior Compute Solutions Engineer — AI & GPU, Equity Options

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 140,000 - 270,000

Full time

9 days ago
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Job summary

NVIDIA is seeking a Solutions Engineer for the NVEX team in Santa Clara to support enterprise customers using GPU-accelerated platforms (DGX, HGX, MGX). You will triage hardware and AI/ML workloads, work with engineering to reproduce issues, and help develop tools using Linux, C/C++, and Python.

Applicants should have a BS in Computer or Electrical Engineering, 5+ years on multi-GPU systems, and experience with Docker/Kubernetes/Slurm.

Qualifications

  • BS in Computer Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years of engineering experience with multi-GPU platforms.
  • Strong system software (firmware, BIOS, kernel, driver, operating system) expertise.
  • Proficient in C/C++ programming for platform OS, firmware, BIOS, kernel, drivers.
  • Proficient in Python programming with the ability to build custom tools.

Responsibilities

  • Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.
  • Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.
  • Apply AI to create/update products and/or support tools.
  • Take ownership and drive customer issues from inception to resolution.
  • Document customer interactions to better enhance our knowledge base.
  • Apply agentic AI skills to solving customer issues and software development.
  • Occasional work on weekends and holidays to support customers.

Skills

C/C++
Linux
Python
Multi-GPU
Docker
Kubernetes

Education

BS in Computer Engineering or Electrical Engineering

Tools

Docker
Kubernetes
Slurm

Job description

NVIDIA is seeking a Solutions Engineer for the NVEX team in Santa Clara to support enterprise customers using GPU-accelerated platforms (DGX, HGX, MGX). You will triage hardware and AI/ML workloads, work with engineering to reproduce issues, and help develop tools using Linux, C/C++, and Python.

Applicants should have a BS in Computer or Electrical Engineering, 5+ years on multi-GPU systems, and experience with Docker/Kubernetes/Slurm.

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