Staff Platform Firmware Engineer, AI Data Center - Palo Alto [272941]

$188,000 - $432,000 yearly

Job Description

Tesla's AI Hardware team builds the custom silicon and datacenter infrastructure behind Full Self-Driving, Optimus, and some of the largest AI training clusters in the world. Every GPU, every custom accelerator, and every server in these clusters depends on PCIe as the critical high-speed interconnect linking compute, memory, networking, and storage. As we push toward PCIe Gen 5 and Gen 6 speeds, the firmware and driver stack must deliver maximum bandwidth, minimal latency, and rock-solid reliability at massive scale.

We are seeking a Senior or Staff Platform Software Engineer with deep PCIe expertise to own the firmware and Linux driver stack for our AI compute platforms. You will develop, optimize, and validate PCIe subsystems across custom SoCs, GPUs, and datacenter hardware -- ensuring our interconnect infrastructure keeps pace with the demands of next-generation AI workloads.

The Role

  • Develop and optimize PCIe Gen 5/Gen 6 firmware and Linux kernel drivers for Tesla's AI compute platforms
  • Implement PCIe enumeration, link training, and configuration for custom SoCs and accelerator cards
  • Bring up proto hardware and develop proof-of-concept firmware to validate new platform designs before production
  • Build and run platform-level validation -- PCIe performance, thermal, power, and stress testing across the full compute stack under AI training workloads
  • Debug PCIe link failures, signal integrity issues, and protocol errors using analyzers and silicon debug tools
  • Develop Linux device drivers for custom hardware -- DMA, interrupts, MMIO, and peer-to-peer transfers
  • Drive root cause analysis of PCIe failures across firmware, kernel, and hardware

Requirements

  • Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
  • 8+ years in firmware or low-level software development
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No