AI Engineer

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.

SKILLS

Must have

• 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

- 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.