Etched
Direct Ashby career site

Research Engineer, RL Frontiers

Pay
$400,000 per year
Location
San Jose, CA · On-site
Job type
Full-time
Level
Senior
Listed
19 days ago

Skills & highlights for this role

  • Hands-on post-training experience (SFT and RL such as PPO, GRPO)
  • Shipped models used by people
  • Strong PyTorch skills
  • Distributed-training engineering
  • Ability to evaluate and verify results rigorously
  • Understanding of RL systems performance

Also useful

  • RL or post-training frameworks (verl, OpenRLHF, TRL, prime-rl)
  • Inference engines (vLLM, SGLang)
  • Agentic multi-turn RL with verifiable rewards
  • Distillation and training small specialized models
  • ASIC design or verification
  • Accelerator kernels
  • Large-scale compute infrastructure
  • Startup or founder experience

Job Summary

Etched is building AI systems that accelerate its own development. As a Research Engineer on the RL Frontiers team, you will train our proprietary frontier models to automate kernel development, ASIC engineering, production pipelines, and 3-D hardware operating systems.

You will use our proprietary simulators and environments to create custom data mixes and post-train models to SOTA performance on our hardest engineering tasks.

Key Responsibilities

  • Own the post-training stack completely end to end.
  • Build RL environments with ASIC, kernel, and supercomputing engineers, rewarded by simulation, formal tools, tests, and hardware measurements.
  • Create custom data mixes that unlock frontier performance on relevant tasks.
  • Create benchmarks that drive real productivity in the models and avoid reward hacking

You May Be a Good Fit If You

  • Have hands-on post-training experience, including SFT and RL (e.g., PPO, GRPO), and have shipped models people used.
  • Have taken a model from bad to good on a task it wasn’t built for, ideally with scarce data, for example as an early post-training hire at an applied AI company.
  • Are a strong PyTorch and distributed-training engineer who reads the rollouts and checks the numbers before trusting a result.
  • Understand the systems side of RL well enough to make the loop faster and cheaper, not just better.
  • Are entrepreneurial and make good calls under compute and data constraints. Former founders are a plus.

Strong Candidates May Also Have Experience with

  • RL or post-training frameworks (e.g., verl, OpenRLHF, TRL, prime-rl) or inference engines (vLLM, SGLang).
  • Agentic, multi-turn RL with verifiable rewards.
  • Distillation and training small, specialized models for production.
  • ASIC design or verification, accelerator kernels, or large-scale compute infrastructure.

Benefits

  • 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 (Santana Row)
  • Various wellness benefits covering fitness, mental health, and more
  • Daily lunch and dinner in our office
  • Unlimited compute budget subject to ROI justification

Base Compensation Range

  • $400K+
  • Plus Significant Equity

How We’re Different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Read the original posting

From Etched's careers page, first listed on Rolev.ai on October 21, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Research Engineer, RL Frontiers role at Etched?

The Research Engineer, RL Frontiers posting at Etched states compensation of $400,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Etched's official career site.

Where is the Research Engineer, RL Frontiers job at Etched located?

This Research Engineer, RL Frontiers position at Etched is located in San Jose, CA (On-site). Always check Etched's application page for specific state eligibility or relocation policies.

What qualifications are required for Research Engineer, RL Frontiers at Etched?

For the Research Engineer, RL Frontiers role, Etched highlights experience with Hands-on post-training experience (SFT and RL such as PPO, GRPO), Shipped models used by people, Strong PyTorch skills, Distributed-training engineering, Ability to evaluate and verify results rigorously, Understanding of RL systems performance. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Research Engineer, RL Frontiers position at Etched?

This listing links directly to Etched's Ashby application page. You can apply directly on Etched's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.