Computer Vision Engineer
Algorithm Engineer – Computer Vision, Deep Learning & Embedded
Controlli attentamente tutta la documentazione richiesta per la candidatura prima di fare clic sul pulsante apposito in fondo a questa descrizione. 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. xcldrub Proficiency in Italian and/or German is a plus.
Controlli attentamente tutta la documentazione richiesta per la candidatura prima di fare clic sul pulsante apposito in fondo a questa descrizione. 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. xcldrub Proficiency in Italian and/or German is a plus.