Skip to content
← Etched

Kernel Driver Software Engineer

Etched · San Jose

Infrastructureonsite$150k–$350k
Apply on the lab’s site ↗

At a glance

Highlights

  • Develop kernel drivers for new ML accelerators powering frontier inference.
  • Optimize driver performance for latency and throughput at massive scale.
  • Co-design chips, racks, and software for best-in-class throughput.

What they offer

  • Medical, dental, and vision packages with generous premium coverage
  • $500 per month credit for waiving medical benefits
  • $2,500 per month housing subsidy near office
  • Relocation support to San Jose (Santana Row)
  • Wellness benefits covering fitness and mental health
  • Daily lunch and dinner in office
  • Unlimited compute budget subject to ROI justification

Ideal candidate

Systems-minded engineer who loves deep hardware-software interaction and debugging complex performance puzzles. Thrives collaborating with hardware teams and chasing reliability for frontier AI workloads.

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 tables, and IOMMU
  • Familiarity with hardware-software co-design principles
  • Experience with Git and debugging tools like 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 ↗

Posted · Last seen