Senior Solution Engineer, Compute Systems

NVIDIA
Santa Clara, Austin, Durham, Redmond, New York
Workplace: OnsiteFull timeUSD 140,000 - 224,250 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Analytical thinking","Interpersonal abilities","Problem-solving","Communication","Organizational skills"]

Provide direct support to enterprise customers by triaging and resolving NVIDIA GPU-accelerated platform issues across DGX, HGX, MGX, and rack-scale systems. Work with engineering teams using detailed logs and reproduction data, apply AI to create/update products and support tools, and drive cases from inception to resolution. Use strong Linux and multi-GPU expertise, including containerized environments, to solve AI/ML workload problems and document learnings for the knowledge base.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Solution Engineer, Compute Systems

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Provide direct support to enterprise customers by triaging and resolving NVIDIA GPU-accelerated platform issues across DGX, HGX, MGX, and rack-scale systems. Work with engineering teams using detailed logs and reproduction data, apply AI to create/update products and support tools, and drive cases from inception to resolution. Use strong Linux and multi-GPU expertise, including containerized environments, to solve AI/ML workload problems and document learnings for the knowledge base.
Location: Santa Clara, Austin, Durham, Redmond, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide direct support to NVIDIA enterprise customers to resolve or advance customer issues.
  • •Collaborate with engineering teams on customer issues, providing logs, reproduction, and triage information.
  • •Apply AI to create/update products and/or support tools.
  • •Own and drive customer issues from inception to resolution.
  • •Document customer interactions to improve the knowledge base.

Pay and Benefits

Salary: USD 140,000 - 224,250 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of engineering experience with multi-GPU platforms.
  • •Strong system software expertise across firmware, BIOS, kernel, drivers, and operating systems.
  • •Solid Linux skills to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
  • •Containerized solutions experience with Docker, Kubernetes, and/or Slurm.
  • •Proficient in C/C++ and Python to build platform-level tooling and custom utilities.
Experience:5+ years
Education:Bachelor's in Computer Engineering, Electrical Engineering
Skills:Analytical thinkingInterpersonal abilitiesProblem-solvingCommunicationOrganizational skills
Tech Stack:LinuxMulti-GPUDGXHGXMGXGB200GB300CUDADockerKubernetesSlurmCC++PythonFirmwareBIOSKernelDriversOperating systemAgentic AI

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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