Technical Lead Engineer – ML (f/m/d)

Description

The team builds AI-based radar perception for autonomous vehicles, and its work moves from research into systems used on real vehicles on public roads.

You would work alongside AI, radar and software specialists, with access to strong computing infrastructure and large volumes of sensor data to build the next generation of AI solutions.

Responsibilities

• Build advanced machine learning models for radar perception.
• Design and implement algorithms on the company's newest radar platforms.
• Tackle difficult real-world perception problems for self-driving cars.
• Convert research ideas into production-ready software.
• Work with colleagues in AI, radar hardware and software engineering.
• Analyze large sensor datasets and improve system performance.
• Bring the latest AI and radar advances into the team's work.

Requirements

• A master's degree or PhD in computer science, electrical engineering, physics, mathematics or a related field.
• At least 4 years of experience in machine learning, radar processing, computer vision, robotics or embedded systems.
• Strong Python skills.
• Hands-on experience with a deep learning framework such as PyTorch or TensorFlow.
• Strong analytical and mathematical problem-solving skills.
• Experience with perception, sensor processing or autonomous systems.
• Strong communication and teamwork skills.
• Knowledge of radar signal processing is a plus.

Conditions

You get a permanent employment contract.

You receive 30 days of annual leave and overtime compensation.

The company treats all applicants equally regardless of background.

Benefits

• A competitive pay package and a benefits plan that supports your family, physical health and mental health.
• Access to internal and external training, coaching and certifications for skill growth.
• Recognition for innovation and strong performance.
• A highly international, collaborative setting where you work with industry experts as equals.
• Opportunities to join corporate social responsibility initiatives.
• Work with nearly all major global automakers on e-mobility and autonomous driving technology.