Jobs · Engineering · Washington

Senior Solution Engineer, Compute Systems

NVIDIA · Redmond, WA · 4 wk ago
EngineeringFull-time

About the role

NVIDIA’s Experience (NVEX) Solutions Engineering team is seeking a Solution Engineer to support customers using NVIDIA’s GPU‑accelerated platforms (DGX, HGX, MGX, GB200, GB300). The role blends AI‑driven triage, deep technical troubleshooting, and the development of internal tools to keep enterprise customers delighted.

Responsibilities

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

Requirements

  • BS in Computer Engineering, Electrical Engineering, or equivalent experience.
  • 5+ years of engineering experience with multi‑GPU platforms.
  • Strong system‑software expertise (firmware, BIOS, kernel, driver, operating system).
  • Solid understanding of Linux and ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
  • Experience with containerized solutions (Docker, Kubernetes, and/or Slurm).
  • Professional‑level communication skills, adaptable to the technical level of the audience, and calm under pressure.
  • Excellent follow‑up and organizational skills with a passion for problem solving.
  • Proficiency in C/C++ programming of platform OS, firmware, BIOS, kernel, and drivers.
  • Proficiency in Python programming with the ability to build custom tools.

Preferred qualifications

  • Background in parallel programming or GPU acceleration (e.g., CUDA).
  • Experience developing in GPU‑accelerated, cloud, or virtualized environments.
  • Experience analyzing software efficiency of distributed workloads.
  • Familiarity with clustering or HPC data‑center technologies, including upper‑layer protocols such as NCCL and MPI.

Benefits

  • Highly competitive salary.
  • Equity participation.
  • Comprehensive benefits package (see www.nvidiabenefits.com).

Pay

Base salary ranges are $140,000 – $224,250 USD for Level 3 and $168,000 – $270,250 USD for Level 4, determined by location, experience, and comparable employee pay. Eligibility for equity and benefits is included.

Schedule

Standard schedule with occasional weekend and holiday work required to support customers.

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