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Kernel Driver Software Engineer

Etched · San Jose

CHECKED 8H AGO

Infrastructureonsite$150k–$275k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build kernel drivers for new ML accelerators for frontier AI inference.
  • Co-design chips, racks, and software for best-in-class throughput and latency.
  • Optimize high-bandwidth data paths to minimize latency and maximize throughput.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • Housing subsidy of $2,500 per month for those living within walking distance of the office
  • Relocation support for those moving to San Jose
  • Wellness benefits covering fitness, mental health, and more
  • Daily lunch + dinner in office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

Low-level systems thinker who loves hardware-software co-design and sweating reliability and performance details to power frontier AI inference.

Requirements

  • Proficiency in C/C++
  • Strong understanding of kernel-mode driver development and debugging
  • Deep understanding of operating system internals (Linux preferred)
  • Experience with hardware/software interfacing and device drivers
  • Experience with memory management and synchronization in kernel environments
  • Strong understanding of PCIe and other hardware interfaces
  • Experience with device virtualization technologies, including SR-IOV and VFIO
  • Strong understanding of kernel memory mapping, page table configuration, and IOMMU
  • Familiarity with hardware-software co-design principles
  • Proven ability to analyze complex technical problems and provide effective solutions
  • Excellent communication and collaboration skills
  • Experience with version control systems (e.g., Git)
  • Experience with debugging tools (e.g., gdb, kgdb)
remote policy
fully in-person

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 ↗