Radical AI

Radical AI

Perception Engineer

New York, NY

Sponsorship not specified$175k-$225kDetected 36 days ago
PythonC++AlgorithmsMachine LearningComputer VisionRoboticsElectrical Engineering

About the role

  • Your expertise will shape both the physical and systemic implementation of lab automation.

Requirements

  • Strong hands-on experience with 2D/3D cameras, lenses, lighting, and optics
  • Proficiency in Python and/or C++ for production software development
  • 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.

Nice to have

  • Experience deploying ML and multimodal models on robotic platforms
  • Experience in laboratory automation, materials science, or scientific instrumentation
  • Prior startup experience or ownership of systems from early prototype through production

Compensation

  • A competitive compensation package also includes the best in benefits:

Benefits

  • 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
  • A competitive compensation package also includes the best in benefits:
  • 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.
  • 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
  • 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

Company info

  • What We're Looking For

This listing is sourced directly from Radical AI's careers page and normalized into a canonical job model.