Optical Systems Engineer
Etched · San Jose
Infrastructureonsitesenior
At a glance
Highlights
- Own optical interconnect architecture for next-generation AI accelerator systems.
- Build hardware for frontier intelligence with best-in-class throughput and latency.
- Scale prototypes from definition to validation and volume production.
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 (Santana Row)
- Wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
Experienced photonics systems builder with 5-10 years taking high-density interconnects to production. Hands-on debugger who thrives co-designing across teams and is passionate about frontier AI.
Requirements
- 5-10 years of experience in optical interconnect, transceiver, or photonic system design for high-density compute systems
- Expertise across advanced optical interconnect architectures including CPO, NPO, OCI, LPO and emerging form factors
- Strong fundamentals in optical link engineering including link-budget, IL/RL, OSNR, eye diagrams, jitter, BER and FEC
- Working knowledge of laser sources, modulators, TIAs, and DSPs/retimers
- Knowledge of high-speed host interfaces such as 100G/200G-per-lane PAM4 and pluggables OSFP, QSFP-DD
- Familiarity with photonic-electronic co-design, fiber-attach, optical interposers and 2.5D/3D integration
- Proven track record bringing up optical links and PIC-based subsystems and debugging with foundries and vendors
- Understanding of high-power liquid-cooled AI servers and cluster-scale optical fabrics
- 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
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