Principal Robotics Engineer – Computer Vision

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Cambridge, MA
In-Office
Artificial Intelligence • Software
Building Scientific Superintelligence
The Role

🚀 About Lila
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

🌟 Your Impact at Lila

As a Principal Robotics Engineer – Computer Vision, you will lead the design and deployment of perception systems that power our intelligent robots. You’ll own the vision pipeline—from sensor selection and calibration to detection, segmentation, object recognition.... Your work will be essential to enabling high-reliability perception in complex, real-world environments. You will collaborate across robotics, systems architecture, and machine learning teams to define and deliver robust, production-ready vision systems that enable our platforms to act intelligently in the world.

🛠️ What You'll Be Building

  • Lead the architecture and implementation of our robotics computer vision stack
  • Design and deploy perception algorithms for 3D reconstruction, object detection, pose estimation, visual tracking, and scene understanding
  • Select and integrate vision sensors (RGB, depth, stereo, LiDAR) and define calibration workflows
  • Collaborate with other engineers to integrate perception outputs into real-time robot decision-making
  • Optimize algorithms for runtime efficiency on embedded and edge compute platforms
  • Benchmark and improve the robustness of vision systems in dynamic, unstructured environments
  • Guide and mentor junior engineers and researchers
  • Stay ahead of the state of the art in academic and industry computer vision, and bring relevant techniques into production
  • Contribute to roadmap and long-term technical direction of robotics perception

🧰 What You’ll Need to Succeed

  • PhD or Master’s in Computer Vision, Robotics, Computer Science, or a related field
  • 8+ years of experience in deploying computer vision systems in robotics or production environments
  • Experience with visual serving and perception for manipulation
  • Deep expertise in classical and learning-based computer vision techniques
  • Experience building end-to-end perception pipelines for real-time robotic systems
  • Proficiency with tools like OpenCV, ROS2, PyTorch/TensorFlow, and C++/Python
  • Hands-on experience with 3D geometry, SLAM, structure-from-motion, and camera/LiDAR calibration
  • Strong systems thinking—comfortable debugging issues across the entire stack
  • Familiarity with multi-sensor fusion (IMU, LiDAR, depth, vision)
  • Excellent communication and collaboration skills

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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The Company
224 Employees
Year Founded: 2023

What We Do

Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.

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