RL Research Engineer — Own GPU Cluster & Unlimited Compute

Frontier Arc; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Frontier Arc in San Francisco seeks a Research Engineer to push the core RL research agenda. You’ll own the end-to-end loop—from designing policies to training, evaluation, and interpretation—working on a proprietary simulator that aims to replace costly real-world data collection.

You’ll join a small, technically serious team with high agency, building models that transfer from sim to real hardware. Expect on-site work, a fast-paced lab environment, and the opportunity to tackle difficult

Qualifications

• You have designed and trained RL policies from scratch with full ownership of architecture and training.
• Hands-on experience with Isaac Lab, MuJoCo, Newton, or a close equivalent modern physics simulator.
• You understand models under the hood, with interpretability and ablation analysis to reason about failure modes.
• Track record of high-agency, end-to-end ownership of difficult technical problems.

Responsibilities

• Design and train reinforcement-learning policies from scratch, end to end: full ownership of architecture, reward structure, and training process.
• Run ablations, analyse failure modes, and iterate until production-worthy performance.
• Use model interpretability techniques to understand policy behavior and improve it.
• Own the full research loop end to end and ensure sim-to-real relevance.

Skills

RL policy design

End-to-end ownership

Research mindset

Tools

MuJoCo

Isaac Lab

Newton

Job description

Frontier Arc in San Francisco seeks a Research Engineer to push the core RL research agenda. You’ll own the end-to-end loop—from designing policies to training, evaluation, and interpretation—working on a proprietary simulator that aims to replace costly real-world data collection.

You’ll join a small, technically serious team with high agency, building models that transfer from sim to real hardware. Expect on-site work, a fast-paced lab environment, and the opportunity to tackle difficult