Computer Vision Engineer

The role

You will build computer vision and perception systems that power robotic microfactories. You will drive the architecture, development, and deployment of 2D and 3D vision systems.

What you will do

• Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems.
• Own the full vision stack from sensor selection to real-time integration with robotic motion planning.
• Evaluate, adapt, and deploy state-of-the-art vision approaches.
• Define and maintain best practices for system design, testing, and validation of vision pipelines.
• Collaborate with robotics, mechanical, and software engineers for hardware/software integration.
• Mentor and guide junior engineers.
• Drive innovation to improve robustness, scalability, and accuracy of perception systems.

Required qualifications

• 5+ years of industry experience developing and deploying computer vision, machine learning, or image processing solutions in real-world production environments.
• Proven experience architecting end-to-end vision pipelines.
• 5+ years of Python3 and/or C++.
• Ability to write production-quality, performant code.
• Proficiency with Unix systems, shell scripting (sh, bash, zsh), git, containerization, CI/CD, automation, and OOP.
• Deep understanding of digital camera technology, optics, and multi-camera systems.
• Demonstrable expertise with vision and machine learning libraries such as OpenCV, PyTorch, or TensorFlow.
• Experience integrating vision systems with robotic frameworks (e.g., ROS, MoveIt, or custom motion planning systems).
• Ability to work in-person at Molg HQ in Sterling, VA.
• Clear and effective communication skills.

About the company

Molg builds robotic systems that make electronics manufacturing circular. They use robotics, computational design, and AI to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered.