MTS, Inference Performance Visibility
Etched · San Jose
CHECKED 8H AGO
Infrastructureonsite$150k–$275k
At a glance
Highlights
- Lead design of performance analysis suite for custom ML accelerator hardware.
- Build correlated timelines illuminating bottlenecks across host and accelerators.
- Shape performance analysis for novel hardware from the ground up.
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 near office
- Relocation support to San Jose
- Wellness benefits for fitness and mental health
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
Ideal candidate
You are a systems-minded engineer fascinated by how hardware really behaves and driven to make performance visible and actionable for others building frontier AI.
Requirements
- Strong proficiency in C++ or Rust
- Deep understanding of computer architecture, memory hierarchies and interconnects
- Proven experience in low-level performance analysis and bottleneck identification
- Experience with performance analysis tools
- Experience working close to hardware with performance counters or device drivers
- 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