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Robotics engineer (Middle/Senior)

Компания скрыта · из govtechвидна после отклика или в Proвчера

Название откроется после отклика или сразу в Pro

Коротко

Designs and deploys C++ computer vision pipelines and edge-AI models for autonomous defense platforms. · Needs: Strong C++17/20; deep learning CV expertise; TensorRT/ONNX Runtime; Python with PyTorch/TensorFlow; Jetson/Hailo/Coral; GStreamer/FFmpeg; Embedded Linux.

Описание от работодателя

Location: Remote (Ukraine/Europe) Type: Full-time We integrate advanced automation, AI, and robotics to develop security and defense solutions. Our focus is on intelligent systems that combine embedded software, computer vision, and edge-AI for autonomous platforms. We are looking for an engineer who understands that modern computer vision is built on deep learning - not classical algorithms. You will design and deploy CV systems for autonomous platforms in real-world defense conditions. What you’ll do: Develop high-performance C++ computer vision pipelines- detection, tracking, segmentation Integrate and optimize ML models on edge devices using TensorRT and ONNX Runtime Build real-time video pipelines - streaming, preprocessing, inference, post-processing Write Python for ML experiments, data processing, and simulation workflows Optimize system performance - multithreading, memory management, GPU acceleration Integrate cameras, sensors, and compute modules Develop on Embedded Linux with low-level hardware integration Debug and profile real-time systems under operational constraints Technical skills Must have: Strong C++ (C++17/20, STL, multithreading, memory management) Deep learning as the foundation of CV work - CNN architectures (YOLO, ResNet, EfficientDet), understanding of Transformer-based approaches (ViT, DETR) Hands-on ML deployment on edge devices - TensorRT, ONNX Runtime Python at ML engineer level - PyTorch or TensorFlow, NumPy, OpenCV Edge-AI platforms - Jetson, Hailo, Coral Video pipeline experience - GStreamer, FFmpeg Embedded Linux - Ubuntu, Debian or Yocto Git and CI/CD Nice to have: CUDA / GPU programming Model optimization - quantization, pruning ROS / ROS2 Real-time systems and profiling tools Classical CV - calibration, 3D vision, SLAM Simulators - Gazebo, Isaac Sim MAVLink / ArduPilot / PX4 Docker / DevOps Low-level optimization - SIMD, ARM NEON What we offer: Impact: Ownership over mission-critical autonomous/robotics systems. Autonomy: Full technical freedom - choose tools, architect solutions, drive decisions. Minimal bureaucracy. Unique Domain: Rare expertise that strengthens your aerospace/defense resume. Growth: Regular salary reviews with performance-based increases. Remote Work: 100% remote, flexible schedule, core sync hours. Learning: Professional courses and certifications aligned with your role. Team: Work alongside experienced engineers tackling cutting-edge challenges in edge-AI, computer vision, and real-time robotics. Mission: Direct contribution to Ukraine’s defense capabilities and European security resilience. If this resonates with you, don’t wait - reach out today! We’re looking forward to meeting you:)