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Algorithm Engineer – Computer Vision, Deep Learning & Embedded

Recruitment Consultant
Nathan Hampson
Posted
1 day ago

Algorithm Engineer – Computer Vision, Deep learning & Embedded

This is an exciting opportunity to join a growing company. Let’s build together the future of computer vision, machine learning and A.I. technology applications.

Our vision for this role:.
As a software engineer you will be at the core of our research team alongside applied scientists and our companies’ R&D teams. You will be working on modern, blazing fast and state-of-the-art hardware platforms while converting the latest research developments into highly performant and reliable applications. There will be opportunities to concretely contribute and influence the innovation roadmap of our companies by supporting their R&D teams in the technology transfer process.

Must Have Requirements:
– MSc. with 1+ years of experience or PhD in Computer Engineering, Computer Science, Robotic or related field, preferably in a deep-tech or ML company.
– Proficient in good C/C++ programming, ability to write readable, clean, maintainable and performant code.

Responsibilities :
– You’ll be implementing state-of-the-art algorithms and neural networks into reliably working industrial products.
– You’ll work on different computation platform, CPU and GPU, in order to maximize the overall performances.
– You’ll own, develop and enhance our core software modules.

Desirable Requirements:
– Understanding of computer vision algorithms and neural networks and ability to implement them with coding best practices in C/C++/Rust.
– Experience with debugging and profiling tools, versioning systems (ex. Git), package management tools, containers.
– Experience with GPU architecture and programming (e.g. CUDA, TensorRT).
– Ability to write programs to interface with cameras/sensors and acquire data from them, using C/C++ under Linux or Windows is a plus.
– Knowledge of MLOps best practices is a plus.
 

Industry
Contract Type
Permanent
Location
Italy
Work Model
On-Site

Apply Now

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