Robotics Engineer - Solutions
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Dec 19, 2025. FortyFive Labs scores D on the Alion truth index.
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.