Perception Engineer

Radical AI is replacing an R&D process that currently takes 10+ years and $100 million to produce a single discovery. Our self-driving lab platform combines AI with autonomous robotics to run experiments, analyze results, and iterate—continuously, without human bottlenecks. For industries like aerospace, automotive, defense, energy, manufacturing, semiconductors, and space, that means breakthroughs in weeks instead of years.

The Role

As a Perception Engineer in the Robotics and Automation group at Radical AI, you will design, deploy, and scale robust vision-guided automation in fast-moving lab environments.

Your expertise will shape both the physical and systemic implementation of lab automation. You will collaborate closely with Roboticists, Mechatronics, Mechanical Engineers, and Material Scientists to meet rigorous and sometimes dynamic design requirements at an unprecedented deployment speed—bringing open-mindedness and creative fearlessness to ship world-class technology on timelines most teams consider impossible. Not you.

Design, implement, and deploy 2D and 3D vision systems for robotic manipulation, inspection, state verification, and sensor fusion

Develop vision-guided automation solutions integrating cameras, lighting, optics, and robots in laboratory and industrial environments

Implement perception pipelines for object detection, segmentation, pose estimation, and feature extraction

Work on classical detection algorithms as well as training and deploying state-of-the-art vision models

Own camera calibration and system-level accuracy validation

Integrate vision outputs with robot motion planning, grasping, and task execution

Collaborate with software, mechatronics, and mechanical teams to translate experimental and operational needs into automated solutions

Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack

Required

Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or a related field

5+ years of experience designing and deploying machine vision systems in robotics or automation environments

Strong hands-on experience with 2D/3D cameras, lenses, lighting, and optics

Proficiency in Python and/or C++ for production software development

Experience integrating vision systems with industrial robots and motion platforms

Experience solving novel computer vision problems

Experience with simulation, sim2real and domain randomization in a computer vision domain

Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems)

Demonstrable ability to work independently in a hands-on, development-oriented environment.

 

Disclosure