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Robotics Engineer - Solutions

Onsite
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About this role

Join Us in Building the Future of Physical AI

We build the simulation infrastructure for physical AI. We develop GenAI-powered tools that enable robotics teams to create unlimited, diverse training data and realistic evaluation environments. Our team spun out of MIT CSAIL, where we pioneered techniques that trained robots using only synthetic data. We're helping robotics companies transition to AI-native development workflows.

We're a lean team of researchers and engineers from DeepMind, OpenAI, FAIR, and top universities including MIT, Berkeley, Caltech, Harvard, and Yale. We've published best papers at top robotics conferences, won International Olympiad medals, and built core systems at leading AI labs. We believe in building complex systems that bring simplicity to our customers.

Global Team: We operate across US and China time zones. We value people who communicate proactively, document thoroughly, and take ownership of smooth handoffs across teams.

Note: This role requires strong hands-on robotics experience. You'll be deploying and debugging real robot systems at customer sites.

What to Expect

As a Robotics Engineer on our Forward Deployment team, you will be the hands-on expert who makes our solutions work on real robot hardware. You'll bridge simulation and reality, ensuring policies trained in our platform perform in customer environments.

What You'll Do

  • Deploy and tune robot systems at customer sites

  • Bridge sim-to-real gaps through calibration and adaptation

  • Debug hardware/software issues on diverse robot platforms

  • Develop drivers and interfaces for new robot hardware

  • Provide technical guidance on robotics best practices

What You'll Bring

  • 3-7 years of hands-on robotics experience

  • Expert-level ROS/ROS2 and C++ skills

  • Experience with robot controls, planning, or manipulation

  • Strong hardware debugging skills (oscilloscope, logic analyzer)

  • Comfort working on-site at customer locations

Nice to Have

  • Experience with specific platforms (UR, Franka, mobile bases)

  • Background in sim-to-real transfer

  • Familiarity with ML policy deployment on robots

We believe diverse teams build better products. Even if you don't meet every requirement listed, we encourage you to apply if you're excited about this role and our mission.

Skills & Technologies

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Job Details

Company
FortyFive
Work Type
Onsite
Posted
December 19, 2025
Source freshness
Seen on employer source 27m ago

About FortyFive

Physical AI company building simulation infrastructure, synthetic training data, and evaluation environments for robotics teams.

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