Senior Computer Vision Engineer (Perception & Autonomy)

• Design and deploy lightweight, low-latency deep learning models for 2D and 3D object detection (e.g., YOLO, SSD).
• Implement robust multi-object tracking (MOT) to maintain awareness of dynamic obstacles across frames.
• Build semantic scene understanding to distinguish traversable space, vegetation, and hard obstacles.
• Develop pipelines for depth estimation, structure-from-motion (SfM), and monocular depth cues.
• Work on occupancy grid mapping for 3D environment representation and downstream path planning.
• Implement visual odometry and SLAM to ensure precise localization in GPS-denied environments.
• Address challenging visual conditions such as glare, shadows, motion blur, and low-light scenes.
• Optimize perception models for embedded edge devices (e.g., NVIDIA Jetson Orin) using TensorRT, CUDA, and quantization (INT8).
• Balance inference speed and accuracy to achieve high frame rates with minimal end-to-end latency.

• Have deep expertise in computer vision fundamentals, including epipolar and projective geometry, calibration, and photogrammetry.
• Are highly proficient with PyTorch or TensorFlow, and OpenCV.
• Write production-grade C++ and use Python effectively for prototyping and experimentation.
• Have hands-on experience with visual odometry, SLAM, or visual-inertial systems (e.g., ORB-SLAM, VINS-Mono).
• Bring a strong mathematical foundation in linear algebra, probability, filtering (Kalman / Particle Filters), and optimization.
• Enjoy translating research ideas into robust, real-world systems on constrained hardware., * Experience with sensor fusion across camera, IMU, LiDAR, or radar.
• Familiarity with ROS2 for perception and autonomy pipelines.
• Experience working with thermal / IR sensors or event-based cameras.
• Exposure to synthetic data generation for training computer vision models.
• Background in robotics, aerospace, defense, or other safety-critical systems.

• Competitive salary and equity options.
• A high-impact role shaping the perception systems of next-generation UAV platforms.
• Direct influence on core autonomy capabilities, not just incremental features.
• A collaborative, ambitious, and technically rigorous startup environment.
• Flexible working conditions, with remote work and relocation support for top candidates.

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