BMW AG
80809 München - Deutschland
Ingenieur/in - Systems Engineering
Arbeit
Vollzeit
ab 20.05.2026
Beschreibung
Stellenreferenz: 181518
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
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 expe... weiter lesen
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
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 expe... weiter lesen
Stellenreferenz: 181518
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
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.
What awaits you?
- You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments.
- Furthermore, you stay close to the code: prototypes, evaluation pipelines, and data models take shape in your hands and are consistently tested against real-world product requirements.
- You will work hand-in-hand with expert teams, applying your deep AI knowledge to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.
- Additionally, you shape how ADAS systems interact with other AI systems within the vehicle, including future voice-based vehicle interactions.
- Also, you work in an international, interdisciplinary team directly at the Autonomous Driving Campus Munich, alongside partners from the high-tech industry.
What should you bring along?
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
- At least five years of experience developing state-of-the-art AI methods with a proven ability to translate these into production-ready system designs.
- You are both architect and practitioner: you can conceive an architectural decision and technically validate it the next day.
- Experience in complex AI or embedded systems, ideally in automotive, robotics, or other safety-critical environments.
- Strong teamwork and communication skills, as well as a proactive and independent work style to drive tasks forward autonomously.
- Solid software engineering foundation. Python and C/C++ are part of your daily work.
- Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.
Are you ready to shape the AI architecture of tomorrow’s mobility with us? Apply now!
Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.
What do 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 aswell as many other benefits atbmw.jobs/benefits
Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).
You can find helpful tips on your application and the application processhere .
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 morehere .
Mit unseren Marken BMW, MINI, Rolls-Royce und BMW Motorrad sind wir einer der weltweit führenden Premium-Hersteller von Automobilen sowie Motorrädern und darüber hinaus Anbieter von Premium-Finanz- und Mobilitätsdienstleistungen.
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.
What awaits you?
- You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments.
- Furthermore, you stay close to the code: prototypes, evaluation pipelines, and data models take shape in your hands and are consistently tested against real-world product requirements.
- You will work hand-in-hand with expert teams, applying your deep AI knowledge to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.
- Additionally, you shape how ADAS systems interact with other AI systems within the vehicle, including future voice-based vehicle interactions.
- Also, you work in an international, interdisciplinary team directly at the Autonomous Driving Campus Munich, alongside partners from the high-tech industry.
What should you bring along?
- University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
- At least five years of experience developing state-of-the-art AI methods with a proven ability to translate these into production-ready system designs.
- You are both architect and practitioner: you can conceive an architectural decision and technically validate it the next day.
- Experience in complex AI or embedded systems, ideally in automotive, robotics, or other safety-critical environments.
- Strong teamwork and communication skills, as well as a proactive and independent work style to drive tasks forward autonomously.
- Solid software engineering foundation. Python and C/C++ are part of your daily work.
- Very good written and spoken English skills. Knowledge of German, both written and spoken, is an advantage.
Are you ready to shape the AI architecture of tomorrow’s mobility with us? Apply now!
Note: Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.
What do 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 aswell as many other benefits atbmw.jobs/benefits
Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).
You can find helpful tips on your application and the application processhere .
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 morehere .
Ref-Nr.: 11078047
Aktualisiert:
23.05.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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