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At BMW’s Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry’s largest real-world driving datasets, powering millions of vehicles worldwide.
Job Responsibility
You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving
Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale
You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization
Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment
Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide
Requirements
University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications
Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting
Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures
Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++
Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact
Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets
experience in safety-critical or regulated environments is a plus
A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems
Nice to have
experience in safety-critical or regulated environments is a plus
What we offer
Challenging projects with which we shape the mobility of tomorrow together
Wide range of personal and professional development opportunities
Attractive, fair and performance-related remuneration
High level of job security
Annual special payments such as vacation pay, Christmas bonus, and profit sharing
Flexible working hours including six weeks annual leave and overtime compensation