Founding Robotics Research Engineer: Controls & AI Tools

Energize Group

Boston (MA)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

Energize Group is assembling an early robotics AI team in Boston to turn research-grade RL, MPC, and simulation into scalable tools for mission-critical hardware across automotive, aerospace, defence, and industrial sectors.

You will own core technology from day one, with ~60–70% hands-on research and engineering and 30–40% collaboration with customer engineering teams. This role demands breadth across controls theory, simulation, RL, and agentic tooling.

Qualifications

  • Demonstrated breadth across controls theory, simulation, RL and agentic tooling.
  • Strong personal drive and ability to work in an early-stage environment.
  • A portfolio showing sustained, shipped work across months, not tutorials.

Responsibilities

  • Engineering controls and simulation algorithms from scratch across RL, MPC, MPPI, sim to real, and physics simulation
  • Building AI model training infrastructure for hardware data and controls applications
  • Working directly with customer controls engineering teams across automotive, aerospace, defence, and manufacturing
  • Designing and running research demos using Onyx tooling and custom built hardware
  • Using LLM and agent based tooling including Claude as a core part of your engineering workflow
  • Helping shape the team, culture, and technical direction as one of the founding engineers

Skills

Breadth across controls & simulation
Hands-on research & engineering

Education

MIT/Stanford/CMU background

Tools

Onyx tooling
Custom hardware

Job description

Energize Group is assembling an early robotics AI team in Boston to turn research-grade RL, MPC, and simulation into scalable tools for mission-critical hardware across automotive, aerospace, defence, and industrial sectors.

You will own core technology from day one, with ~60–70% hands-on research and engineering and 30–40% collaboration with customer engineering teams. This role demands breadth across controls theory, simulation, RL, and agentic tooling.

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