Senior GPU Compute Solutions Engineer

NVIDIA; Santa Clara (CA); On-site; USD 140,000 - 224,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solution Engineer to triage customer issues on GPU-accelerated platforms (DGX, HGX, MGX) and support AI/ML workloads in data centers. You will engage with customers, reproduce issues, and collaborate with engineering to deliver timely resolutions.

The role emphasizes Linux systems, C/C++/Python development, and containerized tooling (Docker/Kubernetes/Slurm). Remote weekend support may be required, with equity and benefits offered as part of the package.

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, OS) expertise.
• Solid understanding of Linux and troubleshooting AI/ML workloads.
• Containerized solutions experience with Docker, Kubernetes, and/or Slurm.
• Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers.
• Proficient in Python programming with the ability to build custom tools.

Responsibilities

• Provide direct support to NVIDIA Enterprise customers to resolve or advance issues.
• Work with engineering teams on customer issues, providing logs, reproduction, and 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 enhance knowledge base.
• Apply agentic AI skills to solving customer issues and software development.
• Occasional work on weekends and holidays to support customers

Skills

Linux

C/C++

Python

Docker

Kubernetes

Slurm

Multi-GPU

Problem solving

Education

BS in Computer Engineering or equivalent

Tools

Docker

Kubernetes

Slurm

Job description

NVIDIA is seeking a Solution Engineer to triage customer issues on GPU-accelerated platforms (DGX, HGX, MGX) and support AI/ML workloads in data centers. You will engage with customers, reproduce issues, and collaborate with engineering to deliver timely resolutions.

The role emphasizes Linux systems, C/C++/Python development, and containerized tooling (Docker/Kubernetes/Slurm). Remote weekend support may be required, with equity and benefits offered as part of the package.