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Senior ML Engineer - Next-Generation Autonomous Driving

Germany, Munich Employment contract · Job Posted May 29, 2026
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Job Description

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
  • Discounted BMW & MINI conditions

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