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NVIDIA

Solution Engineer - NVIDIA Experience (NVEX) Solutions Engineering

NVIDIA
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senior full-time 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270

First indexed 21 Sept 2026

Description

NVIDIA's NVEX Solutions Engineering team seeks a solution engineer with experience in customer support of NVIDIA's GPU accelerated platforms, including DGX, HGX, and MGX. You will apply AI technologies to triage customer issues, identify solutions, and keep customers delighted.

Responsibilities:

  • Provide direct support to 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.

Requirements:

  • Minimum of a 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.
  • Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
  • Containerized solutions experience with Docker, Kubernetes, and/or Slurm.
  • Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.
  • Excellent follow-up and organizational skills, with a passion or love for solving problems.
  • Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers.
  • Proficient in Python programming with the ability to build custom tools.

Preferred Qualifications:

  • Background with parallel programming or GPU acceleration (e.g., CUDA).
  • Experience developing in GPU accelerated / cloud / virtualized environments.
  • Experience analyzing software efficiency of distributed workloads.
  • Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI).

NVIDIA offers highly competitive salaries and a comprehensive benefits package.