Senior AI Engineer
Role Overview
Hands-on Senior AI Engineer role developing next-generation AI solutions for real-time, embedded, and autonomous systems.
Work spans computer vision, video analytics, sensor fusion, navigation, and autonomous systems, including potential aerospace and defence programmes.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on Senior AI Engineer role developing next-generation AI solutions for real-time, embedded, and autonomous systems.
Work spans computer vision, video analytics, sensor fusion, navigation, and autonomous systems, including potential aerospace and defence programmes.
Responsibilities
- Design, develop, and integrate AI/ML and computer vision solutions for real-time and edge platforms.
- Develop algorithms for object detection, tracking, recognition, and classification.
- Work on video analytics, sensor fusion, navigation, and autonomous systems.
- Develop production-quality C++ and Python software; deploy and optimize AI models on GPU and edge platforms.
- Integrate AI solutions with embedded systems, sensors, and hardware/software interfaces.
- Perform software design, development, integration, testing, verification, and debugging.
- Collaborate across AI, software, embedded, systems, hardware, and testing teams.
- Contribute to architecture, technical decisions, and programme milestones; follow V-model, quality, and safety-critical processes.
Basic qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
- 8–10+ years of relevant hands-on engineering experience.
- Strong C++ and Python programming and strong AI/ML and computer vision experience.
- Experience with deep-learning frameworks such as PyTorch or TensorFlow.
- Hands-on embedded and/or real-time systems experience.
- Strong Linux, Git, and Docker experience.
- Experience taking AI/ML solutions from development through integration and production deployment.
- Strong software development, debugging, and system integration experience.
Preferred qualifications
- NVIDIA Jetson and GPU optimization experience is preferred.
- ROS 2 experience is preferred.
- Sensor fusion, autonomous navigation or guidance, and reinforcement learning knowledge is preferred.
- Aerospace, defence, UAV/UGV, robotics, or autonomous systems experience is preferred.
- Real-time Linux, embedded AI, safety-critical standards, and hardware/software interface experience are preferred.
- Technical leadership, system design, and software architecture experience is preferred.
Language
- English proficiency is required for all roles unless otherwise stated.
About EDGE
EDGE is a UAE advanced technology group focused on defence and emerging technologies, with more than 35 specialised companies and multiple centres of excellence.
The employer describes learning opportunities, career support, and competitive tax-free salaries; benefits may vary by role and seniority.
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