Performance Modeling Engineer
Etched · San Jose
Infrastructureonsite$175k–$370k
At a glance
Highlights
- Build performance models for frontier inference chips across workloads.
- Profile deep learning workloads to uncover bottlenecks and guide optimization.
- Inform next-gen architecture decisions via system and silicon pathfinding.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2.5k per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Wellness benefits covering fitness, mental health, and more
- Daily lunch + dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
A systems-minded engineer fascinated by hardware/software co-design who loves modeling performance and digging into bottlenecks to shape next-gen AI hardware.
Requirements
- Strong performance modeling and analysis skills with experience building analytical or simulation-based models
- Solid understanding of computer architecture and micro-architecture, particularly for accelerators
- Experience profiling and analyzing deep learning workloads on hardware accelerators
- Solid software engineering fundamentals with focus on auditability and maintainability
- 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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