Senior Deep Learning Engineer

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 worlds 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 worldclass 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.

Your Task

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 2D and 3D 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 realworld field tests.

Qualifications :

• MSc or PhD from a quantitative field (e.g. computer science electrical engineering mathematics physics data science).
• At least 3 years of relevant work experience.
• Solid background and selfdriven interest in machine learning deep learning familiarity with recent advances of stateoftheart.
• Expertise in optimizing and finetuning deep neural networks.
• Programming experience in any of Python C Matlab or excellent skills in other languages.
• Demonstrated experience in applying machine learning methods for realworld value creation.
• Familiarity with GPUaccelerated libraries (e.g. PyTorch TensorFlow)
• Good knowledge of computer science and general software engineering principles.
• Excellent command of English spoken and written.
• Collaborative openminded attitude ability to work in a respectful professional team.

Nice to have

• Familiarity with largescale data processing infrastructures and technologies.
• Experience in 3D Computer Vision and Multimodal models 
• Experience in the automotive industry.

Additional Information :

What We Offer

• Participation in exciting highly innovative projects.
• Personal career development and a challenging role with endtoend responsibility.
• Ability to directly deliver software into real products.
• Opportunity to see your ideas turn into reality with our test vehicle.
• Continous development with access to numerous trainings including technical skills soft skills and language skills.
• A friendly respectful and collaborative work environment that encourages creativity and innovation.
• Competitive compensation and a wide range of benefits including:
  • Private health insurance
  • Bonus system
  • Employee discounts
  • Sport pass support
  • Easily accessible office location.

Ready to drive with Continental Take the first step and fill in the online application.

Remote Work :

No

Employment Type :

Fulltime