PstrongINNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. /strong /ppAt the BMW Group, everything begins with passion. It transforms a profession into a vocation. It drives us to continually reinvent mobility and bring innovative ideas to the roads. Enthusiasm for collaborative projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes, and enjoyment of work come together that we can shape the future collectively. /p p We build and operate the ML infrastructure that takes perception and vision models from experiment to production - across a data mesh of domain-owned datasets, through large-scale distributed training on Qualcomm Cloud AI 100 and NVIDIA GPU clusters, all the way to optimized, deployment-ready artefacts for resource-constrained hardware in the vehicle. /pp strongWhat awaits you? /strong /pul no-style="margin-bottom:0.0cm;margin-top:0.0px"li 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. /lili Furthermore, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats. /lili You build tooling for efficient parallel readers, signal extraction, synchronisation of multi-sensor streams, and integration with dataset management platforms for visual QA and curation. /lili Also, you manage experiment tracking, hyperparameter tuning and model registry, enforcing reproducibility, lineage, and approval gates from experiment to production. /lili You develop and maintain model compilation and optimisation pipelines targeting in-vehicle Qualcomm Snapdragon Ride chips and/or NVIDIA automotive SoCs. /lili On top, you operate observability stacks, providing dashboards, data-drift alerts, pipeline SLOs, and log aggregation. /li /ulp strongWhat should you bring along? /strong /pul no-style="margin-bottom:0.0cm;margin-top:0.0px"li University degree in Computer Science, Engineering, or a related field. /lili 3–5 years of hands-on ML infrastructure or MLOps experience. /lili Strong Python skills; experience with hermetic build systems (e.g., Bazel) is a plus. /lili Production Kubernetes experience, including deploying and debugging workloads, writing Helm charts, and managing accelerator node pools. /lili Working knowledge of ML pipeline orchestration, experiment tracking, and hyperparameter optimization. /lili Hands-on experience with infrastructure-as-code for AWS (e.g., Terraform) and automotive measurement data, such as MDF4 or MCAP. /lili Comfortable with relational databases (e.g., PostgreSQL) for metadata stores and experience with dataset management tools, functional-safety awareness (ISO 26262), or AUTOSAR Adaptive. /li /ul p Are you excited to shape the future of automotive AI infrastructure? Apply now!brFind out more about Artificial Intelligence at the BMW Group a here /a. br /pp strongNote: /strongPlease apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered. /pp strongWhat do we offer? /strong /pul no-style="margin-bottom:0.0cm;margin-top:0.0px"li Challenging projects with which we shape the mobility of tomorrow together. /lili Wide range of personal and professional development opportunities. /lili Attractive, fair and performance-related remuneration. /lili High level of job security. /lili Annual special payments such as vacation pay, Christmas bonus, and profit sharing. /lili Flexible working hours including six weeks annual leave and overtime compensation. /lili Discounted BMW MINI conditions. /lili Many other benefits at a bmw.jobs/benefits /a /li /ul p strongEarliest starting date: /strongfrom now on /pp strongType of employment: /strongunlimited /pp strongWorking hours: /strongfull-time /p p If you apply, the next stages of the recruiting process include an online test and then technical interviews with the hiring manager (either virtual or in person). /p p You can find helpful tips on your application and the application process a here /a. /p p At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more a here /a. /p