Platform Product Reliability
Etched · San Jose
CHECKED 7H AGO
Infrastructureonsiteexecutive
At a glance
Highlights
- Own end-to-end reliability for AI servers, racks, and datacenter platforms.
- Deliver best-in-class throughput and latency across inference workloads.
- Build fleet telemetry and field feedback loops for deployed system health.
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
- Daily lunch and dinner in the office
- Wellness benefits covering fitness and mental health
- Unlimited compute budget subject to ROI justification
Ideal candidate
Highly technical, execution-focused reliability leader who thrives on owning complex hardware systems end-to-end and influencing design early to deliver exceptional reliability at scale.
Requirements
- BS, MS, or PhD in Electrical, Mechanical, Reliability Engineering or related field
- 10+ years of reliability engineering experience with complex hardware systems
- Experience leading reliability programs for AI accelerator, GPU, server or rack-scale infrastructure
- Deep understanding of system-level failure mechanisms
- 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