Über uns.

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.

Für den Unternehmensbereich Gastronomy am Standort München suchen wir Sie als

Senior Robotics AI Engineer (f/m/x)

Beschreibung

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!

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 advance embodied intelligence at the BMW Group by tailoring and deploying robotic foundation models. Our focus is on expanding the capabilities of vision-language-action models, world models, and reasoning models to enable the next wave of robotics systems for the automotive world.

What awaits you?

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.
• You build scalable data and training pipelines that unify data from robot fleets, simulation, and synthetic sources.
• You integrate models into complete robotic systems using ROS 2, real-time controllers, and manufacturing IT environments.
• Additionally, you define and enforce performance, safety, and security standards, including monitoring for latency, drift, bias, and hallucinations.
• You work closely with platform, data, and production teams.
• Last but not least, you guide and develop engineers and researchers.

Qualifikationen

What should you bring along?

• University degree (Master's or PhD) in computer science, robotics, electrical engineering, or related field.
• 5+ years in robotics or applied ML with production deployments in manipulation or mobile robotics.
• Deep expertise in foundation models, specifically, multimodal, reasoning and vision-language-action models, diffusion models, and modern finetuning methods (PEFT, DPO, RLHF).
• Strong programming skills in Python and C++ and experience with deep learning frameworks (PyTorch or JAX, CUDA).
• Hands-on experience with industrial or research robots and simulators (e.g., ROS 2, Isaac Sim, MuJoCo); knowledge of kinematics, motion planning, and control.
• Publications, patents, or open-source contributions are a plus.

Find out more about Artificial Intelligence at the BMW Group here.

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

Was wir bieten

What we offer?

• Challenging projects with wich 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.
• Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on

Type of employment: unlimited

Working hours: full-time

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).

Stellenreferenz: 173810

Kontakt

Auf der Suche nach einer spannenden Herausforderung?

Hier gibt es viele weitere Informationen über uns als Arbeitgeber: https://www.bmwgroup.jobs/de/de/ueber-uns.html

Bewerbungstipps und Einblicke hinter die Kulissen gibt es auch auf facebook.com/bmwgroupcareers

und instagram.com/bmwgroupcareers.

Stellenreferenz: 173810

Do you have any questions? Then simply send your enquiry using our contact form. Your enquiry will be answered by telephone or e-mail.

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.