Senior Solution Engineer, Compute Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA, seeks an experienced Solutions Engineer for the NVEX Solutions Engineering team to support GPU-accelerated platforms such as DGX, HGX, MGX, GB200 and GB300. You will triage issues, work with engineering teams, and apply AI to create solutions and tooling for customers.

Minimum BS in Computer or Electrical Engineering with 10+ years in multi-GPU environments, deep Linux expertise, and strong C/C++ and Python skills are required.

Qualifications

• BS in Computer/ Electrical Engineering or equivalent.
• 10+ years of engineering experience with multi-GPU platforms.
• Strong Linux system software expertise and AI/ML workload troubleshooting.

Responsibilities

• Provide direct support to NVIDIA Enterprise customers to resolve or advance issues.
• Collaborate with engineering teams and document triage information for knowledge base.
• Apply AI to enhance products and support tools; own issues end-to-end.
• Occasional weekend/holiday coverage to ensure customer success.

Skills

Multi-GPU platforms

Linux

C/C++ programming

Python programming

Problem solving

Communication skills

Education

BS in Computer Engineering or Electrical Engineering

Tools

Docker

Kubernetes

Slurm

Job description

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced solution engineer focused on customer support of NVIDIA’s GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must have excellent problem-solving abilities and communication skills and be able to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to work on multiple projects and tasks. You must have technical strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools.

What you'll be doing:

Provide direct support to our 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.

What we need to see:

Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience. At least 10 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.

Ways to stand out from the crowd:

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

• You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.