AI ADAS Engineer

Domains), and releases - from data selection and model design through training, validation, and series release. The role combines deep methodological expertise in ADAS models (Perception, Prediction, Planning) with hands-on software development and production ready implementation.

What awaits you?

• You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release.
• In addition, you will define and drive the technical direction of the ADAS AI stack, including its architecture and interfaces to vehicle systems, simulation environments, and validation frameworks.
• You will own complete training, evaluation, and release cycles, covering data selection, scene mining, closed-loop evaluation, root-cause analysis, and KPI-based validation.
• Furthermore, you implement and execute complete training, evaluation, and release

cycles, including data selection, scene mining, closed-loop evaluation, root cause error analysis, and KPI based validation.

Profil

What should you bring along?

• More than 5 years of Research or hands-on experience in AI-based robotics or autonomous driving development with direct responsibility for delivered functions.
• Strong programming skills in Python for model development, training pipelines, evaluation, and data analysis.
• Solid C++ experience for production integration, performance critical components, and embedded/vehicle side deployment.
• Deep expertise in prediction and planning models (incl. negotiation algorithms), including model architecture design and optimization.
• Practical experience with data driven development: dataset curation, labeling strategies, scenario mining, and largescale evaluation (incl. closed loop simulation).
• Experience with E2E AI architectures and different learning paradigms (supervised, un-supervised, imitation, reinforcement, student-teacher) - from problem definition and model design through validation, safety assessment, and series release.
• Experience working in safety critical or regulated environments (ISO 26262 / 8800, SOTIF, or similar) is a strong advantage.

Would you like to help us drive the AI transformation at BMW? Apply now!
Find out more about Artificial Intelligence at the BMW Group

Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.

Am Standort München suchen wir Sie als

Senior AI ADAS Engineer (f/m/x)

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INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

In this role, you will be responsible for the end-to-end development of AI-based ADAS functions across all markets, ODDs (Operational Design