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Job Description
The position is for a computer vision engineer for conceptualisation, implementation, and documentation of algorithms for vision applications on unmanned aerial systems
Key Requirement & Responsibilities:
Computer Vision Expertise:
- Incorporate advanced computer vision algorithms into system architecture.
- Stay abreast of the latest trends and innovations in computer vision technology.
Deep Learning Integration:
- Define strategies for integrating deep learning techniques to compress and compile machine learning programs.
- Train new deep learning models and optimize these for inference at edge.
Software Skills:
- Write efficient C++ software using ROS2 for edge deployment
- Write unit and integration tests for robotics and perception systems
Skills & Qualifications:
- Expertise in deep learning frameworks such as TensorFlow or PyTorch.
- In-depth knowledge of ROS/ROS2, ADAS platforms, and hardware acceleration.
- Strong proficiency in C++, Python programming languages. Experience in GPU programming using OpenCL, and CUDA is a plus.
- Good understanding of software engineering best practices.
- Excellent communication skills.
- Bachelor''s or Master''s degree in Computer Science, Electrical Engineering, or a related field.
Skills