PhD candidate Efficient Deployment of End-to-End Machine Learning Architectures (f/m/x)

BMW M Motorsport / BMW Group; München; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading automotive manufacturer offers a Ph.D. program in Artificial Intelligence focused on hardware optimization for Autonomous Driving. The role involves researching machine learning methods, network design, and deployment of models. Ideal candidates hold a Master’s Degree and have strong skills in ML and computer vision. This full-time role provides attractive remuneration, flexible hours, and numerous benefits, including mentoring and development opportunities.

Leistungen

Comprehensive mentoring

Flexible working hours

Digital offers & mobile working

Attractive remuneration

Apartment offers for students

Qualifikationen

• Strong background in Machine Learning and Computer Vision.
• Previous publications in top conferences are a plus.
• Hands-on experience in deploying neural networks.

Aufgaben

• Research on deployment and hardware optimization of ML methods.
• Design network topologies for real-time capable systems.
• Work with researchers on in-vehicle tests.

Kenntnisse

Machine Learning

Computer Vision

Low Level Sensor Fusion

Programming in PyTorch

Programming in TensorFlow

Docker

Git

Problem-solving

Communication skills

Knowledge of German

Ausbildung

Master’s Degree in Computer Science/AI or related field

Tools

OpenVino

TensorRT

Qualcomm Neural Processing SDK

CUDA

OpenCL

Jobbeschreibung

We, the BMW Group, offer you an interesting and varied Ph.D. program in Artificial Intelligence focusing on the hardware optimization of End-to-End Autonomous Driving. Typically, Autonomous Driving systems are modularly designed, while using human-interpretable interfaces between the different modules. However, this leads to a loss of information and cascading of errors. In contrast, End-to-End systems, holistically trained, help mitigating this issue. Research on End-to-End models, especially the industrialization of such approaches on edge devices will be your focus of your work.

What awaits you?

• Research on the deployment and hardware optimization of state-of-the-art Machine Learning methods, particularly End-to-End models, for Autonomous Driving.
• Hardware-centric design of network topologies to achieve real-time capable systems, using multiple sensor modalities as input, such as cameras and radars.
• The chance to deploy the models on a specialized SoC for in-vehicle tests, including real-world closed-loop evaluation of your deployments.
• Working in an experienced team of researchers and Machine Learning engineers at our facilities in Garching and/or Unterschleißheim.

What should you bring along?

• You have successfully completed a Master’s Degree in Computer Science, Machine Learning / Artificial Intelligence, or in a related field.
• You have a strong background in Machine Learning, Computer Vision, Low Level Sensor Fusion. Previous publications in top conferences are a plus.
• You have very good programming skills in PyTorch / TensorFlow, and you worked with modern programming environment tools such as Docker and Git.
• Hands-on experience in deploying neural networks (e. g. OpenVino, TensorRT, Qualcomm Neural Processing SDK).
• Experience in implementation of software for hardware accelerators, such as CUDA and OpenCL is a plus.
• You can solve problems independently while sharing ideas and working in a team.
• You have very good English and communication skills. Knowledge of German is a plus.

Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - seebmw.jobs/benefits

You are enthused by new technologies and an innovative environment? Apply now!

Earliest starting date: 01.10.2025

Duration: 36 months

Working hours:Full-time

Do you have any questions? Then simply send your enquiry using ourcontact form. Your enquiry will then 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.