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Inference Software Engineer

Etched · San Jose

CHECKED 8H AGO

Infrastructureonsite$175k–$275k
Apply on the lab’s site ↗

At a glance

Highlights

  • Building hardware and software for best-in-class inference throughput.
  • Port state-of-the-art models to novel chip architecture.
  • Scale multi-node inference runtime with robust error handling.

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

Systems engineer who thrives on performance-critical distributed systems and loves bringing cutting-edge models to novel hardware. Hands-on builder eager to work in-person across hardware and software boundaries.

Requirements

  • Proficiency in C++ or Rust
  • Understanding of performance-sensitive or complex distributed software systems like Linux internals, accelerator architectures, compilers, or high-speed interconnects
  • Familiarity with PyTorch or JAX
  • Experience porting applications to non-standard accelerator hardware or hardware platforms
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 ↗