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 be technically 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)
You will also be eligible for equity and benefits.
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.Skills Required
- BS in Computer Science, Electrical Engineering, or equivalent experience
- At least 10 years of software engineering experience
- AI/ML expertise
- Professional-level communication skills and ability to adjust to technical audiences
- Excellent follow-up and organizational skills with a passion for problem solving
- Ability to work occasional weekends and holidays to support customers
- Customer support experience
- Technical expertise with NVIDIA AI Enterprise, Omniverse, or vGPU
- Experience with parallel programming or GPU acceleration (e.g., CUDA)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
