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NVIDIA

Senior Solution Engineer, Compute Systems

NVIDIA

. Provide direct support to NVIDIA Enterprise customers to resolve or advance customer issues .

Posted 9/21/2026full-timeUnited StatesSenior💰 $140,000 - $270,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in system software, including firmware, BIOS, and kernel development, while effectively applying AI to enhance customer support and product tools. Proficient in troubleshooting and optimizing Linux environments for AI/ML workloads, with strong communication and organizational skills.

Highest-signal resume keywords
System Software ExpertiseC/C++ ProgrammingLinux TroubleshootingAI/ML Workload OptimizationMulti-GPU Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C/C++ ProgrammingPython ProgrammingSystem Software DevelopmentLinux Environment CustomizationMulti-GPU PlatformsParallel ProgrammingAI/ML Workload OptimizationDockerKubernetesClustering Technologies
Soft Skills
Professional-Level CommunicationExcellent Follow-UpOrganizational Skills
Tools & Technologies
DockerKubernetesSlurmNVIDIA PlatformsGB200GB300CUDANCCLMPI
Industry Keywords
AIMachine LearningData Center TechnologiesHPCCloud Environments

Tech Stack

Tools & technologies
CloudDockerKubernetesLinuxPythonC++

About the role

Key responsibilities & impact
  • Provide direct support to 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 or update products and support tools
  • Take ownership of customer issues from inception to resolution
  • Document customer interactions to enhance the knowledge base
  • Apply agentic AI skills to solving customer issues and software development
  • Work directly with customers on NVIDIA platforms including GB200 and GB300
  • Triage hardware platform issues and AI/ML workloads in large rack-scale datacenters
  • Contribute to products and software tooling
  • Occasionally work weekends and holidays to support customers

Requirements

What you’ll need
  • 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 ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads
  • Experience with Docker, Kubernetes, and/or Slurm
  • Professional-level communication skills
  • Excellent follow-up and organizational skills
  • Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, and drivers
  • Proficient in Python programming with ability to build custom tools
  • Background 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
  • Clustering or HPC data center technologies, including NCCL and MPI

Benefits

Comp & perks
  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits for you and your family