NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
The NVIDIA Experience (NVEX) Solutions Engineering team seeks a solution engineer with experience in 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 demonstrate outstanding analytical thinking and possess strong interpersonal abilities 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 handle various assignments and responsibilities. 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.
5+ 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 efficiency of distributed workloads
Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.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
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or equivalent experience
- 5+ years of engineering experience with multi-GPU platforms
- Strong expertise in system software, including firmware, BIOS, kernel, drivers, and operating systems
- Strong Linux knowledge and ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads
- Experience with containerized solutions using Docker, Kubernetes, and/or Slurm
- Professional-level communication skills and ability to adapt communication to technical audiences
- Excellent follow-up and organizational skills with strong problem-solving ability
- Proficiency in C/C++ programming for platform OS, firmware, BIOS, kernels, and drivers
- Proficiency in Python programming for building custom tools
- Experience with parallel programming or GPU acceleration, such as CUDA
- Experience developing in GPU-accelerated, cloud, or virtualized environments
- Experience analyzing software efficiency of distributed workloads
- Experience with clustering or HPC data-center technologies, including NCCL or MPI
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.”
