Senior Perception Engineer

Location: Dubai, United Arab Emirates (Micropolis Robotics) 

Role Responsibilities  

In this role, you will: 

• Train and optimize deep 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 including urban, closed community, and off-road environments. 

• Develop and improve key perception tasks, including 3D object detection, 3D semantic segmentation, Multi-object tracking, Parking slot detection, and Cost map  

• Work with large-scale datasets and state-of-the-art machine learning models using in-house compute infrastructure. 

• Validate, benchmark, and iterate on perception algorithms 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.