Computer Vision Engineer
Closed Loop Partners, LLC., Sterling, VA, United States
Location
Sterling
Employment Type
Full time
Location Type
On-site
Department
Software
IN THIS ROLE YOU WILL:
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.
WHO YOU ARE:
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.
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Sterling
Employment Type
Full time
Location Type
On-site
Department
Software
IN THIS ROLE YOU WILL:
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.
WHO YOU ARE:
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.
#J-18808-Ljbffr