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  

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.