Firmware Engineer, Accelerator & Inference Systems

Etched.ai

San Jose (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision coverage
$500 monthly credit to waive medical
Housing subsidy near Santana Row
Relocation support to San Jose (Sant安a
Wellness benefits (fitness, mental健康)
Daily lunch and dinner in office
Unlimited compute budget

Job summary

Etched.ai is building hardware for frontier intelligence in San Jose. This role owns the accelerator software that turns our custom hardware into an inference system, spanning ASIC software, platform firmware, and host-side kernel/driver development.

You would specialize in one area while contributing across others as the team grows, ensuring efficient and scalable inference on our accelerator hardware.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • Strong C/C++ and software engineering fundamentals.
  • Experience building low-level software interacting with hardware.
  • Depth in firmware, embedded systems, device runtimes, operating systems, or kernel/driver development.
  • Experience shipping software on real hardware into production.
  • Familiarity with ARM, PCIe, DMA, HBM, DRAM, Ethernet, UART, RTOS, or FPGA systems.
  • Strong systems intuition around performance, concurrency, memory, reliability, and fault handling.

Responsibilities

  • Develop and optimize accelerator software across ASIC, platform, and host-driver stacks.
  • Collaborate with hardware and firmware teams to bring up and test hardware.
  • Ensure low-latency, high-throughput inference execution on the accelerator.

Skills

C/C++
Software engineering
Low-level programming
Hardware-software integration
Kernel/driver development

Education

Bachelor's degree or equivalent practical experience

Tools

PCIe
ARM architectures
RTOS

Job description

Etched.ai is building hardware for frontier intelligence in San Jose. This role owns the accelerator software that turns our custom hardware into an inference system, spanning ASIC software, platform firmware, and host-side kernel/driver development.

You would specialize in one area while contributing across others as the team grows, ensuring efficient and scalable inference on our accelerator hardware.

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