Gyrolab Electronics

We are looking for a highly skilled C++ (Rust) Computer Vision engineer to join our mission-driven team. You will be responsible for the architectural design and implementation of CV solutions and application level development. You also will be working with Rust.

Responsibilities

• Architect CV solutions: Design and implement advanced computer vision algorithms for real-time applications. Integrate third-party computer vision and deep learning solutions.
• Application level development: Developing high-quality business logic on the edge and ensuring a seamless user experience.
• Optimize performance: Optimize end-to-end video pipelines for edge devices, ensuring low latency and high reliability.
• Hardware ownership: Own critical manufacturing and quality processes, including camera calibration, sensor quality assurance tools, and ISP (image signal processor) tuning.
• Real-world validation: Conduct and oversee test flights to validate software performance.

Core requirements & skills

• Strong background in computer science and mathematics.
• Strong development skills: Deliver clean, maintainable, and well-documented code. Experience with automated testing.
• Classical computer vision: Experience with CV and ISP algorithms: feature extraction, optical flow, noise reduction, low-light enhancement, digital video stabilization, etc.
• Object tracking: Understanding of object tracking using classical or deep learning approaches (e.g., SORT, DeepSORT).
• Edge computing & HW acceleration: Hands-on experience with embedded ` platforms such as Jetson, RPi, Rockchip, Coral, or Qualcomm.
• Upper-Intermediate level of English.

Nice-to-have skills

• Localization & navigation: Experience with visual odometry, SLAM, SfM, sensor fusion, and Kalman filters.
• Camera calibration: Understanding of camera models and calibration procedures.
• Advanced AI: Understanding of vision transformers (ViT), CNNs, RNNs, siamese networks.
• MLOps: Proficiency in the full ML lifecycle: data labeling, training, fine-tuning, quantization, deployment, benchmarking, and experiment tracking.
• UAV systems: Familiarity with flight control, control theory, state estimation, and the MAVLink protocol.
• Domain expertise: Prior experience in defence technology.

Technical stack

• Languages: Expert-level C++ or Rust. Python for research and scripting.
• Video & CV: GStreamer, OpenGL, Vulkan, OpenCL, GLSL, CUDA, V4L; OpenCV, NumPy, Eigen.
• Tools: Git, Docker, CI workflows, Yocto, ROS2.
• Deep inference: Experience with DL frameworks and inference runtimes: PyTorch, TensorFlow, ONNX, TensorRT, etc.
• Protocols & codecs: Understanding of HEVC, muxing, RTP.

We offer:

• Work from R&D office in Kyiv.
• The opportunity to contribute to the development of defense and high-tech innovations in Ukraine.
• Job type: full-time, schedule 5/2 (10–19 or 9–18).
• Official employment (gig-contract).
• 24 days of paid annual leave.
• Military service deferment for eligible employees with valid military registration documents.
• All necessary computer equipment and work-related tools.
• Office equipped with a generator and a stable internet connection.

Interview process:

1. Recruiting interview — 45 min
2. Technical interview — 1.5 hours
3. Final interview — 30 min

Please send your CV and we will come back to you within 5 working days in case your skills are suitable.