7 months ago
Responsibilities
- Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems for 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 vision approaches while balancing off-the-shelf tools and custom solutions against performance, cost, and reliability requirements.
- Define and maintain best practices for vision system design, testing, and validation in industrial environments.
- Collaborate with robotics, mechanical, and software engineers to integrate vision systems into microfactory designs.
- Mentor and guide junior engineers while raising technical standards and knowledge across the team.
- Identify opportunities to improve the robustness, scalability, and accuracy of perception systems.
Requirements
- 5+ years of industry experience developing and deploying computer vision, machine learning, or image processing solutions in production environments.
- Proven experience architecting end-to-end vision pipelines, including hardware selection, algorithm development, integration, and deployment.
- 5+ years of experience with Python 3 and/or C++, writing production-quality and performant code.
- Proficiency with Unix systems, shell scripting, Git, containerization, CI/CD, automation, and object-oriented programming.
- Deep understanding of digital camera technology, optics, and multi-camera systems.
- Expertise with vision and machine learning libraries such as OpenCV, PyTorch, or TensorFlow.
- Experience integrating vision systems with robotic frameworks such as ROS, MoveIt, or custom motion-planning systems.
- Ability to work in person at Molg headquarters in Sterling, Virginia.
- Clear communication skills and the ability to explain trade-offs, align on architecture decisions, and mentor team members.
Benefits
- In-person work at Molg HQ in Sterling, Virginia.
- Hands-on access to robots, CNC milling machines, 3D printers, and industrial prototyping equipment.
- Collaborative, autonomous startup environment with opportunities to learn equipment and build innovative robotic systems.
Categories
ML EngineeringRobotics
About Molg
To tackle the growing e-waste problem, Molg enables circular manufacturing with robotics and design. Its robotic microfactories can autonomously disassemble complex electronic products, and the team partners with leading manufacturers to design electronics with reuse in mind — ensuring one product’s end is another’s new beginning.