Senior RL and Physical Systems Engineer

Grafton Sciences•San Francisco, CA

19d

About The Position

We’re seeking a Senior RL and Physical / Robotics Systems Engineer to build the environments, verifiers, and physical-process models that allow agents to learn and operate in the real world. You’ll work across robotics, ML, simulation, and physical experimentation to develop high-fidelity RL environments, evaluation frameworks, and automated verification systems. This role is ideal for someone who has worked deeply with hardware and robotics while also building ML systems for control, planning, or physical process optimization.

Requirements

Strong background in robotics, physical system modeling, controls, or high-performance automation.
Experience building RL environments, evaluators, or simulation-based training systems.
Ability to work across the full stack of physical engineering, from prototypes to software abstractions.
Comfort integrating ML models with real-world hardware and designing verification tools.
High-agency engineer who thrives in interdisciplinary, hands-on environments.

Responsibilities

Build RL environments, simulation interfaces, and evaluation workflows for complex physical processes.
Develop verifiers, safety checks, and automated evaluation tools for learning systems interacting with real or simulated hardware.
Work across robotics, controls, simulation, and ML teams to integrate hardware intuition into learning-based systems.
Prototype, test, and refine physical workflows, combining real hardware data with learned models.
Own cross-stack engineering tasks spanning robotics, software, ML frameworks, and system-level integration.