Forward Deployed Systems Engineer
Etched · San Jose
Infrastructureonsite$150k–$240k
At a glance
Highlights
- Bring up and validate accelerator systems in large-scale datacenter environments.
- Own customer deployment execution end-to-end under real-world constraints.
- Build diagnostics 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
- $2,500 per month housing subsidy near office
- Relocation support to San Jose (Santana Row)
- Wellness benefits for fitness and mental health
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Hands-on systems problem-solver who thrives in datacenters and customer sites. You love end-to-end ownership, debugging complex systems, 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
Posted · Last seen