Research Engineer, RL Frontiers
Etched · San Jose
Infrastructureonsite$400k
At a glance
Highlights
- Train frontier models to automate kernel development and ASIC engineering.
- Build RL environments rewarded by simulation, tests, and hardware measurements.
- Create custom data mixes and benchmarks that unlock SOTA engineering performance.
What they offer
- Medical, dental, and vision with generous premium coverage
- $500/month credit for waiving medical benefits
- $2,500/month housing subsidy near office
- Relocation support to San Jose (Santana Row)
- Wellness benefits for fitness and mental health
- Daily lunch and dinner in office
- Unlimited compute budget subject to ROI justification
- Significant equity
Ideal candidate
Hands-on post-training engineer who has taken models from bad to good with scarce data and ships models people use. Entrepreneurial, systems-minded, and rigorous about numbers under compute constraints.
Requirements
- Hands-on post-training experience including SFT and RL with shipped models people used
- Track record taking a model from bad to good on a new task with scarce data
- Strong PyTorch and distributed-training engineer who checks rollouts and numbers
- Understands systems side of RL to make the loop faster and cheaper
- Entrepreneurial and makes good calls under compute and data constraints
- 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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