Bmw állások, munkák

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

• You will integrate models that run on edge devices within the infotainment domain.
• Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services....

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

You will contribute to selected areas of the design and continuous development of our data and AI platforms, supporting the journey from concept to productive operation....

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• You develop and maintain a company-wide ecosystem for AI-supported software development – from IDE configurations and AI rules to best practices.
• Every day, you work with AI coding assistants (Claude Code, GitHub Copilot, Cursor) and understand their strengths and limitations.

You take strategic ownership of an AI Moderation Layer as a hardened platform service: define architecture standards, security policies, SLAs/SLOs, and ensure global scalability and integration with AI platform services....

You design the architecture of our AI and data platforms and ensure their continuous development – from the initial idea to productive operation....

You will contribute to selected areas of the design and continuous development of our data and AI platforms, supporting the journey from concept to productive operation....

• If you are enthusiastic about shaping the future of mobility and expanding your international horizons, this programme is right for you.
• You will join a diverse team and be guided by an experienced mentor who will help you unlock opportunities for both professional and personal growth.

You strategically lead the development of next-generation AI innovations – transforming them into powerful, real-world automotive applications that make a real difference on the road....

• You will define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems.
• As a Project Lead, you will drive the implementation of advanced data infrastructure functions from concept to SOP.

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....

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• You will take technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control....