Computer Vision Engineer (AI)

Location: Manassas, Virginia, United States

Company

Builds a software platform for AI-powered autonomous systems serving enterprise and government customers.

What you will do

• Implement and optimize onboard perception algorithms for real-time detection, temporal association, and dynamic-object state estimation from moving platforms.
• Integrate camera modules and validate image quality, timing, latency, and behavior under real flight conditions.
• Build repeatable camera and algorithm testing and evaluation procedures.
• Run camera calibration and sensor synchronization procedures for multi-camera and multi-sensor setups.
• Profile and optimize embedded inference pipelines against latency, throughput, and compute budgets; evaluate or retrain detection models on captured data.
• Support field test campaigns, flying algorithms and cameras, analyzing logs, and collaborating with pilots and integrators.

Requirements

• Degree in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experience.
• Experience building computer vision systems on resource-constrained or embedded platforms.
• Working knowledge of classical computer vision, including feature detection and matching, optical flow, camera models and calibration, and multiple-view geometry.
• Practical camera hardware experience, including sensor and lens behavior, exposure, timing, and module integration issues.
• Proficiency in C++ and Python with real-world OpenCV experience.
• Evidence of taking projects from problem definition to deployment on hardware and working in the field with pilots and real logs.

Nice to have

• Camera bring-up below the vendor SDK level, including MIPI CSI-2, USB, GigE, driver, or V4L2 work.
• ISP tuning, auto-exposure, or auto-gain pipeline experience.
• Experience evaluating or retraining detection models on real captured data.
• Experience with state estimation, sensor fusion, visual-inertial odometry, or visual SLAM.
• Experience with ROS2, embedded inference runtimes, or aerial platforms such as PX4 or MAVLink-based systems.

Culture & Benefits

• Flexible working hours.
• Stock options, a company pension plan, and a generous holiday allowance.
• Enhanced maternity and paternity leave.
• Mental health and wellbeing support.
• Learning and development opportunities and car parking.