High-Speed Peripheral Firmware Lead
Etched · San Jose
Infrastructureonsitelead
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
Posted · Last seen