In the Budapest Artificial Intelligence Development Centre of Continental, we create next generation automotive software solutions which make automated driving safe and affordable. We work towards Vision Zero, a goal to eliminate fatal accidents happening every day on the world’s roads. In the Business Area of Autonomous Mobility, we are looking for creative minds who are passionate to shape the future of automated driving by delivering world-class perception and fusion systems.
Our teams develop software solutions for Driver Assistance (DA) and Automated Driving (AD) Systems, processing various automotive sensor data and providing a robust, scalable output to driving function modules.
As a Deep Learning Engineer You will:
> Create, apply and evaluate novel deep learning methods to yield a comprehensive environmental model using data from cameras, laser and radar sensors, and their combination
> Develop, analyze and improve deep learning algorithms for complex scene understanding, computer vision (2-D and 3-D object detection, semantic segmentation, human pose estimation), point cloud analysis, sensor fusion, model fusion, and more
> Access and use vast amounts of computing power and petabytes of internal and external data to train models
> Enable, perform and document evaluation and comparison of different machine learning approaches
> Work as part of an international team alongside renowned internal and external experts in the field. Benefit from university collaborations. Depending on interest, participate in real-world field tests
> MSc or PhD from a quantitative field (e.g., computer science, electrical engineering, mathematics, physics, data science)
> Solid background and self-driven interest in machine learning, deep learning, familiarity with recent advances of state-of-the-art
> Good knowledge of computer science and general software engineering principles.
> Excellent command of English, spoken and written
> Programming experience in any of Python, C++, Matlab or excellent skills in other languages
> Collaborative, open-minded attitude, ability to work in a respectful professional team
Nice to have:
> At least 2 years of relevant work experience
> Demonstrated experience in applying machine learning methods for real-world value creation
> Expertise in optimizing and fine-tuning deep neural networks
> Familiarity with GPU-accelerated libraries such as TensorFlow, PyTorch, Torch, Caffe, Theano or CNTK
> Familiarity with large-scale data processing infrastructures and technologies
> Experience in the automotive industry
What we offer:
- competitive compensation and a wide range of benefits, including:
- bonus system
- annual flexible benefit (Cafeteria)
- private health insurance
- employee discounts
- sport pass support
- flexible work-from-home arrangements during and after the COVID-19 pandemic
- continuous development with access to numerous trainings, including technical skills, soft skills and language skills
- personal career development and a challenging role with end-to-end responsibility
- opportunity to see your ideas turn into reality with our test vehicles
- ability to directly deliver software into real, innovative products
- easily accessible office location in downtown Budapest (near Kálvin square)
Ready to drive with Continental? Take the first step and fill in the online application.
