Machine Learning Engineer – Automotive Software
4 semanas atrás
We are looking for a highly skilled and motivated Machine Learning Engineer to join our team.
As part of our AI and machine learning group, you will develop state-of-the-art models that enable intelligent decision-making related to vehicle exterior and interior perception based on IMUs, microphones and air sensors.
You will work on projects that require sensor fusion and real-time sensor data processing, ensuring our solutions are robust, scalable, and optimized for automotive-grade performance.
- Design, develop, and deploy machine learning models for ADAS and real-time monitoring in vehicles.
- Implement algorithms for environment perception using data from IMUs, cameras, and radar.
- Develop sensor fusion techniques to integrate data from multiple sensors and improve overall vehicle perception and safety.
- Collaborate with software and hardware teams to optimize machine learning algorithms for real-time, embedded automotive systems.
- Conduct extensive testing and validation of models using simulation tools and real-world datasets under various driving scenarios.
- Work on continuous improvement of deployed models by processing large datasets and applying advanced machine learning techniques
- Stay updated with the latest advancements in AI, machine learning, and automotive technologies, incorporating new methods and tools into our products.
Qualifications
- Bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field (PhD is a plus).
- 3+ years of hands-on experience in developing machine learning models for real-time systems, preferably in automotive or related industries.
- Strong proficiency in Python and C++ with experience using machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV).
- Familiarity with sensor technologies such as inertial sensors, LIDAR, radar, cameras, and the integration of their data.
- Knowledge of ADAS and embedded systems for real-time machine learning.
- Experience with optimization techniques for deploying machine learning models on resource-constrained devices.
- Experience in algorithm development on perception features for ADAS systems.
- Familiarity with edge computing and deploying AI solutions on automotive-grade hardware.
- Previous work with large-scale automotive datasets and sensor data processing.
- Ability to work in a fast-paced, collaborative team environment.
- Strong problem-solving and analytical skills, with attention to detail.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical team members.
Additional Information
What we offer you:
Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity.
Success stories don´t just happen. They are made...
Make it happen We are looking forward to your application
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