5 months ago
Responsibilities
- Drive the architecture, development, and deployment of advanced 2D and 3D computer vision systems.
- Own the full vision stack from sensor selection to real-time integration with robotic motion planning.
- Evaluate and deploy state-of-the-art vision approaches balancing performance, cost, and reliability.
- Define and maintain best practices for system design, testing, and validation of vision pipelines.
- Collaborate with engineers to ensure seamless hardware/software integration of vision systems.
- Mentor and guide junior engineers to elevate technical standards across the team.
- Identify opportunities to improve robustness, scalability, and accuracy of perception systems.
Requirements
- 5+ years of industry experience in computer vision, machine learning, or image processing.
- Proven experience architecting end-to-end vision pipelines including hardware and algorithm development.
- 5+ years of experience with Python3 and/or C++, capable of writing production-quality code.
- Proficiency with Unix systems, shell scripting, git, containerization, CI/CD, and OOP.
- 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 like ROS or MoveIt.
- Ability to work in-person at Molg HQ in Sterling, VA.
- Clear communication skills to articulate trade-offs and mentor team members.