11 days ago
Manassas, VA, USAMid Level
H1B sponsor
Responsibilities
- Implement and optimize onboard perception algorithms for real-time detection, temporal association, and state estimation of dynamic objects.
- Integrate camera modules and validate image quality, timing, latency, and operational behavior on aerial platforms.
- Build repeatable camera and algorithm testing and evaluation procedures across units, builds, and iterations.
- Run and improve camera calibration and multi-camera or multi-sensor synchronization procedures.
- Profile and optimize embedded inference pipelines against latency, throughput, and compute budgets.
- Evaluate or retrain detection models using real captured data.
- Support bench-to-flight field test campaigns and improve algorithms using flight logs and captured data.
- Own deliverables end to end and contribute to camera, lens, and sensor selection.
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 feature detection and matching, optical flow, camera models and calibration, and multiple-view geometry.
- Practical experience with camera hardware, including sensor and lens behavior, exposure, timing, and module integration issues.
- Proficiency in C++, Python, and OpenCV.
- Experience taking a project from problem definition to software running on hardware and working in the field with pilots and real logs.
- Preferred experience with MIPI CSI-2, USB, GigE, driver-level or V4L2 camera work.
- Preferred experience with ISP tuning, auto-exposure or auto-gain pipelines, detection-model evaluation or retraining, state estimation, sensor fusion, visual-inertial odometry, or visual SLAM.
- Preferred experience with ROS2, embedded inference runtimes, PX4, or MAVLink-based aerial systems.
Benefits
- Flexible working hours.
- Stock options.
- Generous holiday allowance.
- Company pension plan.
- Car parking.
- Enhanced maternity and paternity leave.
- Mental health and wellbeing support.
- Learning and development opportunities.
About Auterion
Auterion builds an operating system and software platform for autonomous robots and drones, combining onboard autonomy with cloud-based fleet management for enterprise and government operators. It monetizes through commercial subscriptions, integrations, and support for its PX4-based stack used across delivery, inspection, and defense applications. Founded in 2017 and headquartered in Arlington, Virginia, Auterion is privately held.