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Supercomputing Engineer, Fleet Software

Etched · San Jose

Infrastructureonsite$200k–$350k
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At a glance

Highlights

  • Build fleet management that provisions, updates, and recovers hardware at scale.
  • Develop monitoring and analysis that connects signals across racks.
  • Enable safe software and firmware rollouts across labs and customers.

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 (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 infrastructure builder who has owned systems through real field deployments and incidents. Thrives collaborating across hardware and software to improve fleet reliability and performance at speed.

Requirements

  • Experience building infrastructure software and owning it in production, including deployments, incidents, and the changes that followed
  • Background in fleet management, provisioning, configuration management, or observability for compute infrastructure or connected devices
  • Solid distributed systems and Linux fundamentals
  • Hands-on experience with Kubernetes and container orchestration, including running it on bare metal
  • Experience with Slurm or similar HPC and GPU cluster schedulers and resource management
  • Experience with network boot and bare metal provisioning (PXE, HTTP boot, iPXE, DHCP/TFTP) to bring hosts up and re-image them at scale
  • Strong proficiency in at least one of Go, Python, Rust, or C/C++
  • Strong debugging skills using logs, metrics, and tracing
  • Strong communication skills and comfort collaborating across hardware, firmware, and software teams

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 ↗

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