Computer Vision Engineer

Department: Software

Location: Sterling

Employment Type: FullTime

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).

• Ability to work in-person at Molg HQ in Sterling, VA.

• Clear and effective communication skills, with the ability to articulate trade-offs, align on architecture decisions, and mentor team members.

WHO WE ARE:

We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Sterling, VA, down the road from the largest data center market in the world. Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things.

THINGS TO KNOW:

• We’re a hands on collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion.

• We are scrappy and looking to build a great sustainable company for years to come.

• As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.