Computer Vision Engineer

About the role

ABOUT US

Hey! We’re Molg 👋 We’re building robotic systems that make electronics manufacturing circular. We work with hyperscalers and leading electronics manufacturers to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered. Using robotics, computational design, and AI, our systems turn today’s e-waste into resilient, data-driven supply chains—and change how electronics are made in the first place.

IN THIS ROLE YOU WILL:

Join a cross-functional team of robotics, software, and mechanical engineers to build the computer vision and perception systems that powers Molg’s robotic microfactories. As a Computer Vision Engineer, you will:

- Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg’s robotic microfactories.

- Own the full vision stack, from sensor selection and calibration through perception algorithms and real-time integration with robotic motion planning and grasping.

- Evaluate, adapt, and deploy state-of-the-art vision approaches — balancing trade-offs between off-the-shelf tools and custom solutions to meet real-world performance, cost, and reliability requirements.

- Define and maintain best practices for system design, testing, and validation of vision pipelines in industrial environments.

- Collaborate with robotics, mechanical, and software engineers to ensure seamless hardware/software integration of vision systems into Molg’s microfactory designs.

- Mentor and guide junior engineers, helping elevate technical standards and knowledge across the team.

- Drive innovation by identifying opportunities to improve robustness, scalability, and accuracy of Molg’s perception systems.

You’ll have the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact.

WHO YOU ARE:

You are a hands-on computer vision engineer who understands that vision and perception only matters if it works on real robots. You bring:

- 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, including hardware selection, algorithm development, integration, and deployment.

- 5+ years of Python3 and/or C++, with the ability to write production-quality, performant code.

- Proficiency with modern software development tools and principles: 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).