Computer Vision Engineer

Molg • Sterling, VA

15h • Onsite

About The Position

Molg is building robotic systems to make electronics manufacturing circular. They work with hyperscalers and leading electronics manufacturers to automate the design, manufacturing, disassembly, repair, reuse, and recovery of hardware. Using robotics, computational design, and AI, their systems aim to transform e-waste into resilient, data-driven supply chains and revolutionize electronics manufacturing. 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 power Molg’s robotic microfactories. You will drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems, own the full vision stack from sensor selection to integration with robotic motion planning, and evaluate/adapt state-of-the-art vision approaches. You will also define and maintain best practices for vision pipelines in industrial environments, collaborate with other engineering disciplines, mentor junior engineers, and drive innovation in perception systems. This role offers the opportunity to build innovative solutions in a fast-paced environment that values autonomy and impact.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed