NVIDIA
Hardware Systems Application Engineer - CSP
$136K–$264K
US, CA, Santa Clara · Full-time · Posted Sep 4, 2026
- Experience
- 5+ years.
- Education
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
About the job
Deploy NVIDIA AI data center rack systems at cloud providers, troubleshoot complex system issues, and coordinate customer and internal engineering teams on architecture and roadmaps.
What you'll do
- Collaborate with cloud providers, OEMs/ODMs, and NVIDIA teams to deploy AI racks and optimize customer solutions.
- Troubleshoot server issues across hardware, software, and applications to support customer success and time to market.
- Coordinate between customers and NVIDIA architecture teams on future data center architectures and roadmaps.
What they ask for
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
- 5+ years of experience in system-level design and integration of server products from concept to deployment.
- Understanding of x86 server architecture, PCIe, DDR, Infiniband, and high-speed interconnects; basic understanding of BMC architecture, I2C (SMBus), power management, and system telemetry controls.
- Familiarity with Linux OS and command line; knowledge of PCIe Gen5 and Gen6 interface challenges.
Nice to have
- In-depth understanding of CPU, GPU, networking, and architectural tradeoffs.
- Self-motivated, eager to learn, and able to work in high-pressure, dynamic environments.
Pay
136,000 USD - 218,500 USD (base salary, Level 3); 168,000 USD - 264,500 USD (base salary, Level 4)
Tools
NVIDIA MGX, Grace-Blackwell, Vera Rubin NVL72, x86, PCIe, DDR, Infiniband, Linux OS
AI focus
Supports deployment of AI-centric data centers and AI Factories, including next-generation AI rack systems and future GPU-accelerated data center architectures.
Model-written summary · the original posting is authoritative