Development Engineer Algorithmics with a focus on Deep Learning (m/f/d)

WOFÜR WIR SIE SUCHEN

Are you looking for a job with creative freedom and development opportunities? Then you've come to the right place! We offer you a dynamic environment with the opportunity to get involved and gain an insight into many exciting projects.

Your tasks include in particular

Extension and optimisation of the existing Rheinmetall Air Defence Deep Learning Pipeline for electro-optical target detection, tracking, classification and segmentation with C++ and Python
Integration of this pipeline into a product: C++ implementation and optimisation on the hardware used
Development and implementation of new algorithms in the field of artificial intelligence
Design of system components in the field of air defence
Implementation of algorithmic software modules in MATLAB
Creation of system and interface specifications
Analysing test results and creating studies and reports

WAS SIE MITBRINGEN SOLLTEN
University degree in one of the following fields: Computer Science, Data Science, Robotics or comparable
In-depth knowledge in: Artificial intelligence, deep learning in the field of image processing, system design, robotics
Knowledge of at least one of these areas Image processing, network technology, electro-optical sensors (camera and laser technology), measurement technology, real-time systems, radar technology
Very good user knowledge of Linux,C++ and Python
Experience with NVIDIA's Jetson series and GStreamer or NVIDIA's DeepStream SDK is an advantage
Very good command of written and spoken English and German
High level of independence and ability to collaborate in interdisciplinary and intercultural teams

WAS WIR IHNEN BIETEN

At our location in Zurich we offer you

Flexible working hours (flexitime and trust-based working hours); home office where possible and appropriate
Very good social benefits and a performance-related salary
Full salary payment (incl. 13th month's salary) from the first to the 730th day immediately after joining in the event of illness
Employee benefits of a large corporation, e.g. company pension scheme, employee share purchase programme and free flu vaccination
Promotion of needs-based further training
Staff restaurant and external catering and shopping facilities nearby
Various benefits (e.g. insurance products, mobile phone subscriptions)
Individual internal and external personnel development measures in cooperation with our Rheinmetall Academy
Case management and individual social support

KONTAKTDETAILS

Responsible contact person: Jascha Köster

If you have any questions about your application, please use the contact form.

We would like to point out that dossiers from recruitment agencies will not be considered.