Robotics Engineer

Reposted 6 Days Ago
New York, NY
In-Office
200K-250K Annually
Mid level
Artificial Intelligence • Chemical
The Role
As a Robotics Engineer, develop and deploy autonomous robotic systems for materials discovery, focusing on perception, control, and manipulation in dynamic environments.
Summary Generated by Built In
Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.

The Opportunity

As a Roboticist at Radical AI, you’ll build intelligent robotic systems for a fully autonomous materials discovery lab. Your focus will span path planning, perception, control, and manipulation—enabling mobile robots and 6DOF arms to safely and reliably perform complex tasks in dynamic lab environments. You’ll work with ROS 2, Nav2, MoveIt, and simulation platforms like Isaac Sim to develop, test, and deploy robust autonomy stacks. Your code will control real robots that move through physical space, handle experimental materials, and bridge the sim2real divide in a highly interdisciplinary setting.

You are a robotics engineer with hands-on experience in perception, motion planning, and control for both mobile robots and manipulators. You think in terms of both software architecture and physical behavior. You’re comfortable with simulation tools and robotic middleware, and you’ve deployed code that controls real-world systems safely and autonomously.

You may not have done all of the following, but the prospect of learning and owning these technologies excites you.

About You

  • Proficiency with ROS2 and related frameworks like Nav2 and MoveIt
  • Experience with autonomous mobile robots (AMRs), including localization, obstacle avoidance, and navigation
  • Hands-on integration of 6DOF robotic arms, including motion planning and execution
  • Strong foundation in path planning, trajectory generation, and controls
  • Familiarity with computer vision with tasks such as object detection, pose estimation, and fiducial tracking
  • Comfort with simulation environments such as IsaacSim, Gazebo, or MujoCo
  • Understanding of sim2real challenges and strategies for bridging that gap
  • Skilled in C++ and/or Python for real-time, hardware-adjacent development

Pluses

  • Experience with multi-robot systems or coordination
  • Familiarity with task planning, behavior trees, or symbolic reasoning
  • Exposure to lab automation protocols or experimental R&D environments
  • Prior contributions to open-source robotics tools or frameworks
  • Deployment of robotic systems in production or high-availability settings (e.g. industrial automation)

What we offer:

  • A competitive compensation package also includes the best in benefits:
  • Medical, dental, and vision insurance for you and your family
  • Mental health and wellness support
  • Unlimited PTO and 14+ company holidays per year
  • 401K 
  • Work closely with a team on the cutting edge of AI research.
  • A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.

Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Top Skills

C++
Gazebo
Isaac Sim
Moveit
Mujoco
Nav2
Python
Ros2
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The Company
HQ: New York, New York
22 Employees
Year Founded: 2024

What We Do

Radical AI is accelerating materials R&D.

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.

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