MOLG Inc.-posted 4 months ago
$120,000 - $150,000/Yr
Full-time • Senior
Sterling, VA
11-50 employees

Molg is on a mission to tackle the growing e-waste problem by enabling circular manufacturing with robotics and design. The company’s robotic microfactories can autonomously disassemble complex electronic products, partnering with leading manufacturers to design electronics with reuse in mind. This dual focus on recovery and design innovation drives Molg’s mission to keep materials in use and reduce waste. In this role, you will lead the architecture, development, and deployment of advanced 2D and 3D computer vision systems that enable Molg’s robotic microfactories. You will own the full vision stack, from sensor selection and calibration through perception algorithms and real-time integration with robotic motion planning and grasping. You will also evaluate, adapt, and deploy state-of-the-art vision approaches, define best practices for system design, and collaborate with various engineering teams to ensure seamless integration of vision systems.

  • Lead the architecture, development, and deployment of advanced 2D and 3D computer vision systems.
  • Own the full vision stack, from sensor selection and calibration through perception algorithms and real-time integration.
  • Evaluate, adapt, and deploy state-of-the-art vision approaches.
  • Define and maintain best practices for system design, testing, and validation of vision pipelines.
  • Collaborate with robotics, mechanical, and software engineers for hardware/software integration.
  • Mentor and guide junior engineers.
  • Drive innovation by identifying opportunities to improve robustness, scalability, and accuracy of perception systems.
  • 5+ years of industry experience developing and deploying computer vision, machine learning, or image processing solutions.
  • Proven experience architecting end-to-end vision pipelines.
  • 5+ years of Python3 and/or C++ experience.
  • Proficiency with modern software development tools and principles.
  • 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.
  • Ability to work in-person at Molg HQ in Sterling, VA.
  • Clear and effective communication skills.
  • 401k
  • equity
  • full healthcare benefits
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