Computer Vision Engineer
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Algorithm Engineer – Computer Vision, Deep Learning & Embedded
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The Opportunity: A leading deep-tech computer vision innovation company is seeking an Algorithm Engineer to join their core research team alongside applied scientists and R&D specialists.
In this role, you will work on modern, high-performance hardware platforms, converting state-of-the-art research developments into reliable, real-world applications. You will have a direct impact on the innovation roadmap by supporting R&D teams through the technology transfer process.
Key Responsibilities:
- Implement state-of-the-art computer vision algorithms and neural networks into robust industrial products.
- Work across diverse computation platforms (CPU, GPU, and embedded devices) to maximise overall system performance.
- Own, develop, and enhance core software modules.
Required Experience & Capabilities:
- Technical Expertise: Solid understanding of computer vision algorithms and neural networks, with the ability to implement them following best coding practices in C, C++, or Rust.
- Development Tools: Proficient with debugging/profiling tools, version control (Git), package management, and containerisation.
- GPU Programming: Hands‑on experience with GPU architecture and acceleration frameworks (e.g. CUDA, TensorRT).
- Background & Qualifications: MSc with 3+ years of experience or a PhD in Computer Engineering, Computer Science, Robotics, or a related field (preferably within deep-tech or machine learning environments).
- Code Quality: Strong proficiency in clean, readable, maintainable, and highly performant C/C++ code.
- Communication & Collaboration: Excellent written and verbal English communication skills, paired with a creative, proactive, and collaborative mindset.
Desirable Extras:
- Ability to write programs interfacing with cameras/sensors and acquiring data under Linux or Windows using C/C++.
- Knowledge of PyTorch, GPU training, and MLOps best practices. xbvzest
- Proficiency in Italian and/or German is a plus.
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