What are the responsibilities and job description for the Senior RL and Physical Systems Engineer position at Grafton Sciences?
About Grafton Sciences
We're building AI systems with general physical ability — the capacity to experiment, engineer, or manufacture anything. We believe achieving this is a key step towards building superintelligence. With deep technical roots and real-world progress at scale (e.g., a $42M NIH project), we're pushing the frontier of physical AI. Joining us means inventing from first principles, owning real systems end-to-end, and helping build a capability the world has never had before.
About The Role
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.
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.
Qualifications
- 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.
Above all, we look for candidates who can demonstrate world-class excellence.
Compensation
We offer competitive salary, meaningful equity, and benefits.