Molg · 4 months ago
Senior Computer Vision Engineer
Molg is a company focused on tackling the e-waste problem through circular manufacturing with robotics and design. The Senior Computer Vision Engineer will lead the development and deployment of advanced computer vision systems for robotic microfactories, collaborating with various engineering teams and mentoring junior engineers to enhance technical standards.
Industrial AutomationInnovation ManagementManufacturingRobotics
Responsibilities
Lead 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
Qualification
Required
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
Benefits
401k
Equity
Full healthcare benefits
Company
Molg
Molg specializes in circular manufacturing, utilizing robotics to autonomously disassemble complex electronic products.
H1B Sponsorship
Molg has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
Funding
Current Stage
Early StageTotal Funding
$15.04MKey Investors
US Department of EnergyClosed Loop PartnersTechstars
2025-05-02Series Unknown· $4.5M
2024-11-15Grant· $5M
2024-10-09Seed· $2M
Recent News
2024-10-16
Company data provided by crunchbase