Edge AI & Robotics Engineer

Job Purpose

Builds and deploys AI models on edge devices and robotics platforms, ensuring real-time inference and field performance.

Key Responsibilities

· Develop real-time inference systems optimized for edge deployment.

· Integrate sensors, perception systems, and robotics platforms.

· Optimize model size and latency for hardware-constrained environments.

· Implement AI-based control algorithms for robotics systems.

· Test and validate deployments under real-world conditions.

Minimum Qualifications

Education: Bachelor of Robotics or Computer Science, Master's in Robotics or AI is a plus.

Experience: 4–6 years

Key Competency Requirements

Technical Skills:

· Experience with TensorRT, ONNX, NVIDIA Jetson, or Coral TPU.

· Familiarity with ROS, SLAM, and embedded system development.

Robotics/Edge Integration Skills:

· Understanding of mechatronics, control systems, and sensor fusion.

· Knowledge of safety standards and low-power AI optimization.

Soft Skills:

· Strong problem-solving and experimentation mindset.

· Hands-on debugging and field validation abilities.

Job Type: Full-time

Application Question(s):

• Do you have experience working with edge AI platforms such as NVIDIA Jetson, TensorRT, ONNX, or Google Coral TPU?
• Have you previously worked with ROS (Robot Operating System), SLAM, or embedded systems in robotics projects?
• What is your current notice period or earliest joining date?
• What are your salary expectations for this role?
• Current location, nationality, and current job title/role?
• Are you willing to work remotely ?

Education:

• Bachelor's (Preferred)

Experience:

• AI/ML deployment on edge or robotics platforms: 7 years (Preferred)

Language:

• Arabic and English (Preferred)

Location:

• Dubai (Preferred)