Senior Solution Engineer, Compute Systems

About the role

The NVIDIA Experience (NVEX) Solutions Engineering team is seeking a Solution Engineer with experience supporting NVIDIA’s GPU‑accelerated platforms (DGX, HGX, MGX). The role involves applying the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted while working directly with customers on platforms such as GB200 and GB300.

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/or support tools.
• Take ownership of customer issues from inception to resolution.
• Document customer interactions to enhance the 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 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, including adapting communication to the audience and staying calm in negative situations.
• Excellent follow‑up and organizational skills with a passion for solving problems.
• Proficiency in C/C++ programming of platform OS, firmware, BIOS, kernel, 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 salaries.
• Comprehensive benefits package (see www.nvidiabenefits.com).
• Eligibility for equity.

Pay

Base salary is determined by location, experience, and comparable employee pay. Salary ranges are:

• Level 3: $140,000 – $224,250 USD
• Level 4: $168,000 – $270,250 USD

Schedule

Primary work schedule is standard business hours, with occasional weekend and holiday support as needed.