Algorithm Engineer - Video Tracking & Sensor Fusion (m/f/d)

Smartmicro; Braunschweig; Hybrid; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading technology company in Braunschweig is seeking an Algorithm Engineer to develop image processing and tracking software, particularly focusing on radar-camera fusion systems. The ideal candidate will have a master's degree in Electrical Engineering or Computer Science, experience in image processing and C/C++, plus familiarity with deep learning. This role offers a flexible working environment with hybrid options and various employee benefits.

Leistungen

Flexible working hours

Subsidized gym membership

Team events

Free drinks and fresh fruit

Qualifikationen

• Master's degree in Electrical Engineering or Computer Science required.
• Experience in at least two areas: image processing, deep learning, or video tracking.
• Proficiency in C/C++ and Python is essential.

Aufgaben

• Develop image processing and tracking software in C/C++.
• Work on radar-camera fusion system for traffic management applications.
• Collaborate with radar tracking experts globally.

Kenntnisse

Image processing expertise

Deep learning experience

Video-based object tracking skills

Proficiency in C/C++

Knowledge of Python

Ausbildung

Master in Electrical Engineering or Computer Science

Tools

openCV

CUDA

Jobbeschreibung

Algorithm Engineer - Video Tracking & Sensor Fusion (m/f/d)

Introduction

We are smartmicro, leading specialist in high performance automotive and traffic radar sensor technology. We design, develop and manufacture high-tech radar sensors for autonomous driving and for intelligent traffic infrastructure and smart cities. Our mission is to make roads safer, enable autonomous driving in all-weather scenarios, optimize traffic flow for reduced travel times and enable greener, smarter cities. In this way, we want to make the future of mobility a reality.

Your Tasks

• On the one hand you develop image processing and tracking software in C/C++, on the other hand you are partially responsible for the development of our radar-camera fusion system for traffic management applications
• Your work spectrum ranges from basic image processing tasks over deep learning-based object detection algorithms to video tracking algorithms, which must be optimized and implemented for/on the target platform (DSP, ISP) to guarantee real-time processing
• You collaborate closely with our radar tracking experts and develop sophisticated solutions for our radar-camera sensor fusion products
• Also, you are in contact with our customer’s R&D teams worldwide

Your Strengths

• Complete Master in Electrical Engineering or Computer Science
• You have experience in at least two of the following fields: image processing using e.g. openCV, deep learning or video-based object tracking using Bayesian filtering
• You are proficient in C/C++ as well as Python
• Experience in programming for target platforms including ISPs (Image Signal Processors) using for example CUDA is beneficial
• You are innovative, motivated and while working on algorithmic details you stay focused on the final product

What you can expect from us

• Innovation: latest technologies, modern building and free charging of electric and hybrid electric vehicles
• Pleasant working environment: informal culture, motivated teams, short communication channels, room for active participation
• Future-oriented workplace: permanent employment and individual training opportunities
• Attractive location: located directly next to the highway and bus stop, with parking facilities for cars and bikes
• Flexible working: hybrid working (4 days presence per week and option of mobile working after 3 months of training) + flextime
• Activities: team events, subsidized gym and the opportunity to walk and jog in the nearby forest
• Other benefits: selection of drinks, fresh fruit, quarterly get-together with cake buffet

Become a part of our innovative company and work together with us to develop our leading technology in the field of radar and hybrid sensors and systems. Please send us your complete application with certificates by mail at [e-mail] or fill out the form at our career page.