Senior Computer Vision & Deep Learning Engineer — Real-Time Perception

Recruiting Top Talent Across Europe | Executive Search Partner

We are partnering with a high-growth organization developing advanced autonomous solutions. You will contribute to the design and deployment of perception systems that operate in real-time — enabling intelligent behavior in robotic machines.

This role suits someone who enjoys both algorithm innovation and hands-on product delivery: from data pipelines and model optimization to on-machine testing and validation.

Key responsibilities

• Develop and optimize deep-learning-based perception modules for real-time operation (detection, segmentation, tracking)
• Build robust pipelines from data generation → model training → deployment into production hardware
• Benchmark accuracy, latency and robustness on real robotic platforms — contribute to continuous field validation
• Support broader autonomy stack through cross-team collaboration (localization, planning, UI)
• Contribute to documentation, testing and code standards to ensure long-term maintainability
• Provide mentorship within the perception team and participate in technical hiring decisions

Core experience (must-haves)

• Strong background in deep learning for computer vision (2D or multi-modal sensor input)
• Hands‑on experience implementing perception models in C++ and/or Python on Linux systems
• Familiarity with real‑time constraints and performance optimization techniques for deployed AI systems
• Experience with modern training frameworks (PyTorch, TensorFlow, etc.) and classical CV tools (OpenCV, PCL, etc.)
• Ability to scope work, manage priorities, and deliver in a fast‑moving product organization
• Solid communication skills for cross‑disciplinary technical work

Desirable (nice to have)

• Experience with LiDAR / radar fusion and 3D scene understanding
• Familiarity with GPU‑accelerated inference pipelines and embedded deployment (CUDA, TensorRT, or similar)
• Exposure to robotics middleware (ROS/ROS2) and on‑machine software integration
• Previous experience in industrial outdoor or safety‑critical machine applications
• Rust programming for performance‑critical components (optional)

Qualifications & languages

• Degree in Computer Science, Robotics, Electronic Engineering, Mechatronics or related discipline (or equivalent practical experience)
• Fluent in English. German is advantageous but not essential

What’s on offer

• Real influence on deployed robotic systems in operational environments
• Close‑knit engineering teams and rapid iteration cycles
• The chance to push forward perception‑driven automation in an emerging global market

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Referrals increase your chances of interviewing at TalentCloud Group Recruitment by 2x

#J-18808-Ljbffr