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High-Speed Peripheral Firmware Lead

Etched · San Jose

Infrastructureonsitelead
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At a glance

Highlights

  • Lead firmware for custom AI accelerator from pre-silicon to production silicon.
  • Own bring-up and tuning of high-speed peripherals for frontier inference hardware.
  • Shape future silicon generations alongside ASIC architects and RTL engineers.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2.5k per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in our office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

Hands-on low-level leader who loves owning critical firmware and debugging tough hardware problems alongside architects. You mentor engineers while staying deep in code and shaping future silicon.

Requirements

  • Bachelor's degree or equivalent practical experience
  • Strong C/C++ programming skills and low-level software engineering fundamentals
  • Experience developing firmware or drivers that interact directly with hardware
  • Experience working with ASICs, SoCs, embedded processors, or complex hardware platforms
  • Deep technical knowledge of at least one high-speed interface, such as PCIe, HBM, Ethernet, or a similar peripheral
  • Experience with hardware initialization, register-level programming, and debugging hardware/software interactions
  • Strong understanding of computer architecture, memory systems, concurrency, and performance
  • Experience owning complex firmware components and making technical design decisions
  • Ability to work closely with ASIC architects, RTL engineers, and hardware validation teams
  • Experience providing technical direction, reviewing designs, and mentoring other engineers

Lab profile

About Etched

Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.

What they build

  • Sohu AI inference chip
  • AI racks and hardware systems
  • Inference software stack

Known for

  • Full-stack co-design of chips, racks, software and manufacturing
  • Best-in-class throughput and latency for prefill and decode
  • Inference-optimized architecture

Key facts

  • Backed by hundreds of millions from top-tier investors
More about Etched →
Apply on the lab’s site ↗

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