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# Senior Solution Engineer, Compute Systems

- **Company:** NVIDIA Ltd.
- **Location:** Westford, MA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $224,250.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, BIOS, Cluster Analysis, Nvidia CUDA, Computer Programming, Computer Engineering, Data Centers, Linux, Firmware, Hardware Platform Interface, Python (Programming Language), Linux System Administration, Software Engineering, System Software, Virtualization Technology, Graphics Processing Unit (GPU), Parallel Computation, Agentic-AI, Kubernetes, Information Technology, Slurm, Machine Learning Operations, Software Coding, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-solution-engineer-compute-systems-westford-ma--ddcc7014-bec1-4e5c-bd88-2873ab438a2e

## About the Role

Computer Systems, Systems Engineering, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Analysis Skills, Computer Programming, Resolve Customer Issues, Communication Skills, Interpersonal Skills, 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., * 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)

## Description

* 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