NVIDIA
Hardware Systems Engineer - LPU Platform Pathfinding
$124K–$242K
US, CA, Santa Clara · Full-time · Posted Oct 29, 2026
- Experience
- 4+ years.
- Education
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).
About the job
Supports development and pathfinding of LPU hardware platforms, from system architecture and lab debugging through production delivery.
What you'll do
- Investigate platform architectures for power delivery, cooling, mechanical build, and high-bandwidth interconnects; contribute to technical decisions and trade-off analyses.
- Perform lab bring-up and full-stack hardware debugging, and help resolve issues with vendors and cross-functional teams.
- Support program execution through issue tracking, root-cause analysis, and timely resolution.
What they ask for
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).
- 4+ years of experience in platform, system, or hardware engineering from concept through delivery.
- Practical lab experience with hardware initialization and troubleshooting, including oscilloscopes, multimeters, logic analyzers, and signal measurement instruments.
- Experience with board building using Cadence tools, Linux environments, and communication protocols such as I2C, SPI, USB and UART.
Nice to have
- Exposure to large-scale AI platforms such as LPU, GPU, TPU, or custom accelerators.
- Experience supporting accelerator systems at rack or cluster scale, or exposure to advanced system builds such as new power networks, liquid cooling, or optical interconnects.
Pay
124,000 USD - 195,500 USD base salary (Level 2); 152,000 USD - 241,500 USD base salary (Level 3)
Tools
Cadence, Design Entry HDL, OrCAD, Capture, Allegro, Linux, I2C, SPI
AI focus
Develops hardware platforms supporting fast-paced AI workloads; NVIDIA states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative