Computer Vision Engineer

Location

Sterling

Full time

On-site

Software

• 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.

• 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 Tensor Flow.

• Experience integrating vision systems with robotic frameworks (e.g., ROS, Move It, 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.