Computer Vision Engineer (M/F)

About this role:

• We are currently looking for a Computer Vision Engineer to join our team based at our VIC (Verkor Innovation Center) at Grenoble.
• As such, your role is to prepare prerequisites and provide proper integrated solutions for vision-related projects. This role will work as a team with mechanical and control engineers to research, develop, evaluate, optimize, and deploy various computer vision and deep learning models for different problems.
• Your main mission is to think critically and identify potential risks from the engineer's point of view, and to tackle practical problems in manufacturing, with a comprehensive understanding of computer vision systems for hardware, software and interaction with machines, etc.
• You will report to the leader of the Manufacturing Solutions & Innovation team and should be capable of designing algorithms independently to fulfill tasks allocated. Structured thinking and data sensitivity are compulsory.

Responsibilities:

• Work with team members, to select or design computer vision systems from hardware to software for production line, based on unstructured data like images, etc.
• Define requirements and specifications of vision system for appointed scenario
• Take ownership to propose, and develop feasible and viable solutions for processes and meet customized requirements
• Evaluate feasibility and performance of solution provided by suppliers
• Validate, optimize, and deploy computer vision models as integrated system
• Report progress and results of vision technology studies to other Verkor departments

Requirements:

• Bachelor’s degree in Software Engineering, Information Technology, Mathematics, Artificial Intelligence, or a similar discipline. M.S. is preferred.
• At least 3 years of working experience on computer vision-related projects. Industrialization experience is mandatory. Having battery manufacturing project experience is preferred.
• Sufficient experience with vision Engineering design, including AOI, triggering, orientation, etc.
• Deep understanding of computer vision and deep learning algorithms
• Proficient with at least one machine learning framework such as Tensorflow, Keras or PyTorch
• Experience in training models through GPU computing using NVIDIA CUDA or on cloud
• Ability to transform research articles into a working solution for real-world problems
• Strong experience in feature engineering with image processing algorithms
• Proficient in Python, experience with C++ is a bonus
• Must have good object-oriented programming & logical analysis skills