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Hardware Systems Application Engineer - CSP

NVIDIA· Engineer, Apps
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Santa Clara, CA$136k - $218.5kFull-timePosted 7mo ago

About the role

Customer-facing hardware engineer role focusing on deploying NVIDIA MGX platforms for AI-centric data centers at large CSP customers, acting as the central liaison between CSPs and NVIDIA architecture teams to develop future GPU-accelerated data center architectures and roadmaps.

Responsibilities

  • Collaborate with major cloud service providers (CSP), their OEM/ODM’s, and internal teams to help deploy the latest NVIDIA Vera-Rubin AI rack’s
  • Work with other domain expert teams at NVIDIA to ensure customer solutions are optimized for the highest performance servers in the world
  • Solve deep server system technical issues at the hardware, software and application level, ensuring customer success and time to market
  • Act as the central point of contact between CSP customers and NVIDIA architecture teams to develop future GPU-accelerated data center architectures and roadmaps
  • Excellent verbal, written communication, and technical presentation skills in English.
  • Up to 30% travel expected

Qualifications

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
  • 5+ years of proven experience in system-level design and integration of server products from concept to deployment.
  • Solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects
  • Basic understanding of BMC (Baseboard Management Controller) architecture, I2C (SMBus), power management and system telemetry controls
  • Familiarity with Linux OS and command line experience
  • Knowledge of the latest PCIe Gen5 and Gen6 technical interface challenges
  • Strong problem-solving and analytical skills as well as excellent communication and teamwork skills
  • Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.

Skills

Required:Cloud-scale hardware deploymentX86 server architecturePCIe, DDR, InfinibandBMC, I2C (SMBus), power managementLinuxCommunication & stakeholder management

Benefits

  • Equity eligibility
  • Comprehensive benefits package (see company Benefits)
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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