MTS, Inference Performance Visibility
Etched · San Jose
Infrastructureonsite$150k–$400k
At a glance
Highlights
- Lead design of a performance analysis suite for custom ML accelerator hardware.
- Build correlated timelines linking CPU, PCIe transfers and accelerator execution.
- Shape performance visibility for novel inference 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 for those living within walking distance
- Relocation support 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
- Significant equity
Ideal candidate
A hardware-curious performance detective who thrives close to silicon and loves turning raw counters into clear insights that help architects and ML engineers unlock speed.
Requirements
- Strong proficiency in C++ or Rust
- Deep understanding of computer architecture, memory hierarchies and interconnects including PCIe
- Proven experience in low-level performance analysis, profiling and bottleneck identification
- Experience with performance analysis tools like Nsight, VTune, perf, Tracy or ETW
- Experience working close to hardware with performance counters or device drivers
- remote policy
- Fully in-person, no remote
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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