Senior Solution Engineer, Compute Systems

What You'll Do

• 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 .
• Applications for this job will be accepted at least until September 24, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• 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.