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.
What You'll Do
- 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
What We're Looking For
- 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.
- Deep robotics automation experience outside of vision
- Hands on experience developing and integrating VLA models for robotics
- Experience deploying ML and multimodal models on robotic platforms
- Ability to develop novel algorithms for state estimation of fluids and particle flows
- Experience in laboratory automation, materials science, or scientific instrumentation
- Prior startup experience or ownership of systems from early prototype through production
- Medical, dental, and vision insurance for you and your family, covered at 100%
- Mental health and wellness support
- Unlimited PTO and 14+ company holidays per year
- Company-wide end-of-year shutdown, including two weeks of paid time off
- 401K
- Equity
Skills Required
- Degree in Robotics, Computer Vision, Electrical Engineering, Computer Science, or 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 computer vision
- Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent)
- Demonstrable ability to work independently in a hands-on, development-oriented environment
- Deep robotics automation experience outside of vision
- Hands on experience developing and integrating VLA models for robotics
- Experience deploying ML and multimodal models on robotic platforms
- Ability to develop novel algorithms for state estimation of fluids and particle flows
- Experience in laboratory automation, materials science, or scientific instrumentation
- Prior startup experience or ownership of systems from prototype through production
What We Do
Through the integration of artificial intelligence, engineering, materials science, and applied research, we are changing the way materials are designed, developed, and discovered. In doing so we are tackling the world's most pressing problems.
Why Work With Us
We know what we are doing is hard. Really hard. We like that. As a team of deep domain experts, we trust each other and all move with autonomy. It won’t always look perfect —that’s the price of moving fast. But we prize execution above all else.
