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Forward Deployed Systems Engineer

Etched · San Jose

Infrastructureonsite$150k–$240k
Apply on the lab’s site ↗

At a glance

Highlights

  • Bring up and validate Etched accelerator systems in large-scale datacenters.
  • Own customer deployment execution end-to-end under real-world constraints.
  • Build tooling and processes that make deployments scalable and repeatable.

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
  • Relocation support for those moving to San Jose
  • Wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in office
  • Unlimited compute budget subject to ROI justification
  • Significant equity

Ideal candidate

Hands-on systems problem-solver who thrives in datacenters and customer environments. You love end-to-end ownership, root-causing complex issues, and turning field learnings into scalable processes.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or related field or equivalent practical experience
  • Experience supporting datacenter customers in systems, networking, AI infrastructure, or field engineering roles
  • Deep experience with Linux/Unix installation, configuration, debugging, and performance tuning
  • Strong networking fundamentals including TCP/IP, RDMA, and low-latency Ethernet
  • Hands-on experience with high-speed networking such as 100GbE / 400GbE
  • Strong ability to diagnose performance and integration issues across hardware + OS + networking layers
  • BMC experience, telemetry/monitoring systems, RMA/failure analysis exposure
  • Travel up to 30% to customer sites for deployments, on-site debugging, and launch support
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 ↗

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