Job Description

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.

We shape the future of software development at BMW. With AI-powered tools and methods, we transform how software is created – with greater speed, higher quality, and better developer experience. We are building a new team at the intersection of AI and automotive software engineering to drive transformation across international engineering locations.

What awaits you?

• You pioneer the transformation toward an AI-native Software Development Lifecycle (SDLC) and continuously evaluate rapidly advancing AI capabilities to keep BMW at the frontier.
• Furthermore, you design and build AI-driven engineering toolchains and workflows, agentic systems, and context engineering strategies.
• You build and operate AI-driven engineering environments and automated feedback loops to drive measurable improvements in developer productivity.
• You ensure system quality with evaluations, guardrails, and validation of software development artefacts and outputs.
• In addition, you enable and coach engineering teams to adopt AI-native workflows, collaborating across multiple divisions and international locations.
• You drive knowledge exchange across the developer community, for example through hackathons, workshops, and training sessions.
• You contribute to our transformation initiative, roadmap planning, cross-team alignment, and data-driven insights that guide scaling decisions.

What should you bring along?

• University degree in computer science, mathematics, software engineering, or a comparable field.
• At least five years of professional software engineering experience developing high-quality production software, ideally from concept to production (Rust, Java, Kotlin, or C++).
• Deep experience with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, or similar tools, with knowledge in context engineering, agentic workflows, MCP, A2A, and agent skills.
• Hands-on experience in designing, building, and operating agentic systems (e.g., LangGraph), including evaluation and quality assurance.
• Experience with CI/CD pipelines, automation of toolchains, and containerised development environments.
• Proficiency in collaborating across multiple teams and international locations, driving adoption of new tools and workflows, and scaling across a large engineering organisation.
• Experience with data-driven decision making, defining metrics, running experiments, and turning measurements into actionable insights.

Are you motivated to take technical responsibility for cross-functional AI initiatives and drive innovative technologies across various business areas? Apply now!

Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.

What we offer?

• Challenging projects with which we are shaping 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 6 weeks annual leave and overtime compensation.
• Discounted BMW & MINI conditions.
• Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on

Type of employment: unlimited

Working hours: full-time

You can find helpful tips on your application and the application process here

If you apply, the next steps in the selection process include an online test and subsequent interviews with the hiring manager (either virtually or in person).

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 here