Level

EDGE Group

Senior AI Engineer

AI in this role

Design and develop advanced AI, computer vision, and machine learning solutions for real-time and embedded defense systems.

pytorchtensorflowcpythongpu
computer-visionmachine-learningsensor-fusionobject-detectionembedded-systems

ABOUT EDGE

At EDGE bold ideas are engineered into technologies that protect, improve and save lives.

 

Headquartered in the United Arab Emirates, EDGE is a leading advanced technology group working at the forefront of defence and emerging technologies. Spanning more than 35 specialised companies and multiple centres of excellence, we are purpose-built to move fast. Free from heavy legacy processes, we give our people the autonomy, accountability, and agility to bring breakthrough technologies from concept to reality.

 

Based in Abu Dhabi, a globally connected hub at the crossroads of Europe, Asia, Africa, and the Middle East, EDGE is home to a truly multicultural community where bold ideas thrive, and the future is shaped.

 

Together, we are shaping the future.

ABOUT THE ROLE

We are looking for a Senior AI Engineer to join our AI/Computer Vision team and work on the development of next-generation AI solutions for real-time, embedded and autonomous systems.

This is a hands-on engineering role for an experienced professional who combines strong software engineering and C++ expertise with AI/ML and Computer Vision. You will work on challenging applications across computer vision, video analytics, sensor fusion, navigation and autonomous systems, with the opportunity to contribute to advanced 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 software using C++ and Python.
  • Deploy and optimize AI models on GPU and edge computing platforms.
  • Integrate AI solutions with embedded systems, sensors and hardware/software interfaces.
  • Perform software design, development, integration, testing, verification and debugging.
  • Collaborate with multidisciplinary teams across AI, software, embedded, systems, hardware and testing.
  • Contribute to system architecture, technical decisions and major programme milestones.
  • Work in accordance with established V-model, quality and safety-critical development 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 programming skills in C++ and Python.
  • Strong experience in AI/ML and Computer Vision.
  • Experience with deep-learning frameworks such as PyTorch or TensorFlow.
  • Hands-on experience with embedded and/or real-time systems.
  • 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

  • Experience with NVIDIA Jetson and GPU optimization.
  • Experience with ROS2.
  • Strong knowledge of sensor fusion, autonomous navigation/guidance or reinforcement learning.
  • Experience in aerospace, defence, UAV/UGV, robotics or autonomous systems.
  • Real-time Linux and embedded AI experience.
  • Knowledge of DO-178B, ARP4754 or other safety-critical development standards.
  • Experience with communication protocols and hardware/software interfaces.
  • Strong system design, software architecture and technical leadership experience.

WHY CHOOSE EDGE

Launched in November 2019, the UAE's EDGE is one of the world's leading advanced technology groups, established to develop agile, bold and disruptive solutions for defence and beyond, and to be a catalyst for change and transformation. It is dedicated to bringing breakthrough innovations, products, and services to market with greater speed and efficiency, to position the UAE as a leading global hub for future industries, and to creating clear paths within the sector for the next generation of highly skilled talent to thrive.

At EDGE, the real investment goes beyond compensation. Through our dedicated learning academy and digital learning platforms, employees have access to extensive opportunities to develop new skills, deepen their expertise, and advance their careers. Combined with the freedom to innovate, strong career support, and the opportunity to collaborate with world-class talent from across the globe, EDGE is a place where you can continue to grow, keep learning, and turn ambitious ideas into meaningful outcomes.

Working at EDGE also comes with a package that genuinely reflects how much we value our people. Salaries are highly competitive and tax-free and, depending on your role and seniority, benefits can include family visas, annual flight tickets, medical insurance for you and your dependents, and education allowances for your children.

CANDIDATE PRIVACY & EQUAL OPPORTUNITY STATEMENT

If you feel your skills, experience and potential are a strong match for a role, we encourage you to apply even if you don’t meet every requirement. We are genuinely interested in what you can bring to EDGE.

Any information you share as part of your EDGE candidate profile or job application will be handled in accordance with applicable data protection and privacy regulations.

EDGE is an equal opportunity employer committed to building a diverse, inclusive, and high-performing workforce. We believe every individual deserves to be treated with fairness, respect and dignity, and our employment decisions reflect that. We do not discriminate based on race, colour, nationality, ethnicity, religion, gender, marital status, age, disability, pregnancy or parental status, or any other characteristic protected by applicable law.

As a global organisation, effective collaboration across international teams is central to how we work, so English proficiency is required for all roles unless otherwise stated in the job posting.

Please note that EDGE does not accept unsolicited resumes from recruitment agencies. Any resumes in the absence of a formally executed agreement in place will be deemed the property of EDGE, and no placement fees or compensation will be payable in respect of such submissions.

How we rate this

Senior AI Engineer at EDGE Group rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionMachine LearningSensor FusionObject DetectionEmbedded SystemsPyTorchTensorFlowC

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where sensor fusion was part of your work. What did you do?
  4. Tell me about a project where object detection was part of your work. What did you do?
  5. Tell me about a project where embedded systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Computer Vision, Machine Learning, Sensor Fusion, Object Detection, and Embedded Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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