Senior Perception Engineer

Location: Dubai, United Arab Emirates (Micropolis Robotics)

Role Responsibilities

In this role, you will:

• Train and optimizedeep learning models that process multi-modal sensor data, including LiDAR point clouds, multi-view camera images, and radar signals.
• Work on multiple autonomous driving stacks includingurban,closed community, andoff-road environments.
• Develop and improve keyperceptiontasks, including3D object detection,3D semantic segmentation,Multi-objecttracking,Parking slot detection, andCost map
• Work with large-scale datasets and state-of-the-art machine learning models using in-house compute infrastructure.
• Validate, benchmark, and iterate on perceptionalgorithms through real-world testing on self-driving vehicle platforms.

Required Qualifications

• Minimum 3+ years of experience in Perception systems.
• Bachelor’s or Master’s degree in Computer Science, Robotics, Mechatronics, or related field.
• Hands-on experience with deep learning applied to at least one sensing modality (camera, LiDAR, or radar).
• Familiarity with modern deep learning architectures, preferably including transformer-based models (e.g., Vision Transformers - ViT).
• Strong practical experience with PyTorch.
• Proficient programming skills in Python.
• Strong teamwork and communication skills, with a proactive and learning-oriented mindset.

Preferred Qualifications

• Strong programming skills in modern C++ 14/17.
• Experience working on autonomous driving or robotics perception systems.
• Experience with optimized model deployment frameworks such as TensorRT, ONNX, or LibTorch.
• Proven experience building and maintaining scalable ML systems using collaborative practices such as MLOps, data/version management, and CI/CD pipelines.