Senior Solution Engineer, Compute Systems

About the role

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for a Solution Engineer to support NVIDIA’s GPU‑accelerated platforms (DGX, HGX, MGX, GB200, GB300). The role involves applying the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted while working directly with enterprise customers in large‑scale datacenter environments.

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 and drive 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.
• Containerized solutions experience with Docker, Kubernetes, and/or Slurm.
• Professional‑level communication skills, including adapting to the technical level of the audience and staying calm in challenging situations.
• Excellent follow‑up and organizational skills with a passion for solving problems.
• Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, and 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, or virtualized environments.
• Experience analyzing software efficiency of distributed workloads.
• Knowledge of 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 range $140,000 – $224,250 USD for Level 3.
• Base salary range $168,000 – $270,250 USD for Level 4.
• Salary determined by location, experience, and comparable employee pay.

Schedule

• Occasional work on weekends and holidays to support customers.