Working Student - Deep Learning for ADAS/AD (f/m/d)
Working Student - Deep Learning for ADAS/AD (f/m/d)
München, DE, 80807 Berlin, DE, 10178 Ingolstadt, DE, 85053
Working Student - Deep Learning for ADAS/AD (f/m/d)
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
To support our Core AI team, we are currently looking for a working student. In your role you get first-hand experience in developing state-of-the-art (SOTA) deep learning models and will be an integral part of the team that develops, scales, integrates and deploys such models in our ADAS/AD series products. You will be part of an international team that works on the latest technology that transforms the autonomous driving industry.
WHAT YOU WILL DO
- Implement and evaluate SOTA model optimization techniques to enhance our models’ efficiency
- Benchmark and validate SOTA quantization and model compression techniques on edge hardware
- Benchmark and compare different model architectures to optimize inference runtime
- Collaborate with the team to integrate the optimized models into our deployment pipelines
- Analyze and report performance metrics to guide model improvements and deployment decisions
WHO YOU ARE
- Enrolled student in the area of Computer science, Mathematics, Robotics or similar disciplines
- Strong mathematical foundation in linear algebra, probability, optimization, and information theory
- Proficient in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow, C++ is a plus
- Strong analytical skills and experience with experimenting or prototyping AI algorithms
NICE TO KNOW
- Remote work options within Germany
- Duration: 6 months
- 20 h/week, up to 35 h/week during semester break
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
To support our Core AI team, we are currently looking for a working student. In your role you get first-hand experience in developing state-of-the-art (SOTA) deep learning models and will be an integral part of the team that develops, scales, integrates and deploys such models in our ADAS/AD series products. You will be part of an international team that works on the latest technology that transforms the autonomous driving industry.
WHAT YOU WILL DO
- Implement and evaluate SOTA model optimization techniques to enhance our models’ efficiency
- Benchmark and validate SOTA quantization and model compression techniques on edge hardware
- Benchmark and compare different model architectures to optimize inference runtime
- Collaborate with the team to integrate the optimized models into our deployment pipelines
- Analyze and report performance metrics to guide model improvements and deployment decisions
WHO YOU ARE
- Enrolled student in the area of Computer science, Mathematics, Robotics or similar disciplines
- Strong mathematical foundation in linear algebra, probability, optimization, and information theory
- Proficient in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow, C++ is a plus
- Strong analytical skills and experience with experimenting or prototyping AI algorithms
NICE TO KNOW
- Remote work options within Germany
- Duration: 6 months
- 20 h/week, up to 35 h/week during semester break
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
München, DE, 80807 Berlin, DE, 10178 Ingolstadt, DE, 85053