Graduate AI Engineer - ADAS AI Agents
Responsibilities
- check_circle Design, develop, and maintain C++ software for automotive systems with a strong focus on system safety
- check_circle Candidates who can support in development of component adhering to functional safety standards
- check_circle Contribute to system analysis, and implementation in compliance with automotive standards
- check_circle Collaborate with hardware, software, and system teams across the development lifecycle
- check_circle Develop and evaluate AI agents for automotive and ADAS use cases.
- check_circle Build AI-powered tools to improve engineering productivity.
- check_circle Apply Machine Learning and Generative AI techniques to ADAS challenges.
- check_circle Work with ADAS engineers to prototype and deploy AI solutions.
- check_circle Analyze automotive datasets and support AI model development.
- check_circle Participate in research and innovation activities related to AI in automotive systems.
Basic qualifications
- 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.
Preferred qualifications
- 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.
About the company
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.
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About Luxoft Sweden AB
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