Graduate AI Engineer - ADAS AI Agents

Graduate AI Engineer – ADAS AI Agents

Are you passionate about Artificial Intelligence, Machine Learning, and the future of automotive technology? Do you want to help shape the next generation of connected, autonomous, and electric vehicles?

DXC Luxoft is a global leader in software engineering and digital transformation, partnering with many of the world's leading automotive manufacturers and suppliers. We are now looking for a talented and motivated Graduate AI Engineer to join our growing Automotive team in Sweden.

In this role, you will work at the intersection of Artificial Intelligence and Advanced Driver Assistance Systems (ADAS), developing innovative AI agents and intelligent tools that support the creation of safer, smarter vehicles. You will collaborate with experienced automotive and AI engineers, apply cutting-edge technologies such as Machine Learning, Generative AI, and Large Language Models, and contribute to real-world solutions for the mobility challenges of tomorrow.

This is an exciting opportunity for recent graduates and early-career professionals who are eager to combine their technical skills with creativity, innovation, and a passion for automotive technology. If you are looking for a role where you can learn, grow, and make a meaningful impact in a fast-moving global environment, we would love to hear from you.

Join DXC Luxoft and help drive the future of intelligent mobility.

Project Description:

DXC Luxoft is a leading global software services company, delivering professional services across multiple business verticals such as finance, automotive, and digital transformation. The Automotive practice inside DXC Luxoft delivers software projects to a majority of the world's car manufacturers and suppliers for both personal and commercial vehicles. We are known for our Automotive software expertise and for helping our customers with high quality services and deliveries. Currently we are growing for our Swedish customers and are looking for Automotive cloud engineer with knowledge in cloud infrastructure development to join our team. You will be part of our growing organization in Sweden and will be part of developing next generation systems for the Automotive industry in the era of connected, autonomous, electric vehicles.

Responsibilities:

Design, develop, and maintain C++ software for automotive systems with a strong focus on system safety

Candidates who can support in development of component adhering to functional safety standards

Contribute to system analysis, and implementation in compliance with automotive standards

Collaborate with hardware, software, and system teams across the development lifecycle

Develop and evaluate AI agents for automotive and ADAS use cases.

Build AI-powered tools to improve engineering productivity.

Apply Machine Learning and Generative AI techniques to ADAS challenges.

Work with ADAS engineers to prototype and deploy AI solutions.

Analyze automotive datasets and support AI model development.

Participate in research and innovation activities related to AI in automotive systems.

Mandatory Skills Description:

Hard skills:

- Degree in Physics, Computer Science, Electrical Engineering, or a related field, with MSc or BSc preferred in Computer Science, AI, Data Science, Robotics, or Computer Vision.

- Experience in C++ software development within automotive settings.

- Foundational knowledge of AI and Machine Learning principles.

- Python programming.

- Understanding of Large Language Models (LLMs) and Generative AI concepts.

- Competence in data analysis to support problem-solving efforts.

Soft skills:

- Demonstrated leadership capabilities and effective communication skills.

- Strong analytical thinking and problem-solving abilities.

- Proven track record in automotive software development projects

Nice-to-Have Skills Description:

- ADAS knowledge: Familiarity with Advanced Driver Assistance Systems concepts and applications.

- Computer Vision: Understanding of image processing and visual data interpretation techniques.

- Deep Learning (PyTorch/TensorFlow): Experience with deep learning frameworks used for modeling and training AI systems.

- Master's Thesis related to ADAS, AI, Autonomous Driving, or Computer Vision: Relevant academic research demonstrating specialized expertise in these areas.

- Experience with AI Agent frameworks: Exposure to frameworks that facilitate the development of intelligent autonomous agents.

- Experience in agile or scaled agile environments: Optional familiarity with iterative and collaborative development methodologies.