ADAS Perception Engineer

European Tech Recruit; München; Hybrid; EUR 120.000 - 185.000; Vollzeit

Zusammenfassung

European Tech Recruit is seeking an ADAS Perception Engineer for a Munich-based hybrid role on a 12 month freelance contract with an ASAP start. The position involves building AI-driven perception systems for automotive applications and collaborating with an international engineering team on production-grade software deployed in vehicles worldwide.

You will work on camera-based lane detection, lane tracking, and lane geometry modelling, while optimizing for real-time performance on embedded

Qualifikationen

• Post-academic industry experience in computer vision or perception systems for ADAS/autonomous driving.
• Proficiency in PyTorch for deep learning.
• Strong C++ production software development experience.
• Experience with lane detection, semantic segmentation, object detection or related perception algorithms.
• Knowledge of camera calibration, image processing and real-time constraints.

Aufgaben

• Design, implement and validate a camera-based lane detection and tracking pipeline for ADAS applications.
• Develop and optimise neural network models for lane marking and lane boundary detection.
• Build robust lane tracking and geometry modelling algorithms for real-time vehicle perception.
• Develop and refine Lane Departure Warning logic, including vehicle state estimation and warning strategies.
• Optimise perception software for embedded automotive hardware while meeting real-time performance requirements.
• Collaborate closely with systems, integration and validation teams to support vehicle-level testing and deployment.

Kenntnisse

Python (PyTorch)

C++

Lane detection

Lane geometry modelling

Camera calibration

Embedded deployment

Real-time systems

Kalman Filters

Object detection

Tools

PyTorch

Jobbeschreibung

-Munich, Germany (Hybrid working, 3+ days onsite weekly)

-12 month freelance contract, potential to extend

-ASAP start

We are currently seeking an ADAS Perception Engineer to join our client; a global technology company at the forefront of next-generation automotive electronics and intelligent mobility solutions. Working with leading automotive manufacturers and Tier 1 suppliers, the company develops cutting-edge semiconductor platforms and software that power Advanced Driver Assistance Systems (ADAS) and the future of autonomous driving.

As an ADAS Perception Engineer, you will play a key role in building AI-driven perception technology that helps vehicles understand their surroundings and improve road safety. This ADAS Perception Engineer opportunity offers the chance to work alongside highly experienced computer vision, AI and embedded software engineers on production-grade automotive technology, and to work on technology deployed in millions of vehicles worldwide.

Key Responsibilities

• Design, implement and validate a camera-based lane detection and tracking pipeline for ADAS applications.
• Develop and optimise neural network models for lane marking and lane boundary detection.
• Build robust lane tracking and geometry modelling algorithms for real-time vehicle perception.
• Develop and refine Lane Departure Warning logic, including vehicle state estimation and warning strategies.
• Optimise perception software for embedded automotive hardware while meeting real-time performance requirements.
• Collaborate closely with systems, integration and validation teams to support vehicle-level testing and deployment.

Required Experience & Skills

• At least 4 years' of post-academic industry experience developing computer vision or perception systems for ADAS or autonomous driving applications.
• Strong Python development skills with hands-on experience using PyTorch for deep learning.
• Excellent C++ programming skills for production software development.
• Experience with semantic segmentation, lane detection, object detection or related perception algorithms.
• Strong understanding of camera calibration, image processing, perspective transformation and classical computer vision techniques.
• Experience with tracking algorithms such as Kalman Filters, Extended Kalman Filters or Particle Filters.
• Knowledge of lane geometry modelling, curve fitting or vehicle localisation techniques.
• Experience deploying AI models onto embedded or automotive compute platforms.
• Understanding of real-time software constraints within automotive systems.

Why Apply?

• Work on cutting-edge AI and computer vision technology that directly improves vehicle safety.
• Join a highly experienced international engineering team solving complex real-world perception challenges.
• Develop production software deployed on next-generation automotive platforms.
• Hybrid working model with a collaborative engineering culture based in Munich.
• Long-term contract opportunity with exposure to advanced embedded AI, computer vision and automotive technologies.
• Play a key role in shaping the future of intelligent mobility and driver assistance systems.

Recruiter's Note

We're looking to speak with experienced ADAS Perception Engineers, Computer Vision Engineers, Autonomous Driving Engineers, Machine Learning Engineers or Perception Software Engineers who have developed production camera-based perception systems.

Ideal candidates are likely to come from automotive OEMs, Tier 1 suppliers or autonomous driving companies. Candidates with direct experience in lane detection, lane keeping, semantic segmentation and embedded AI deployment will be particularly well suited to this opportunity.

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