Staff SW Engineer Machine Learning - Edge Acceleration (m/f/d)

at  CARIAD SE

PREFERRED QUALIFICATION:

• First-author publications in the top-notch journals in the field
• Previous experience with high performance computing is a plus
• Prior experience with autonomous driving, sensor fusion or computer vision at scale
• Experience in working with teams focusing on data analysis and optimizing deep net performance

NICE TO KNOW

• Remote work options
• Temporary work from abroad in selected countries
• Flextime / optional working hours
• Company pension plan
• Annual professional development
• Sabbatical option up to 6 months
• 30 days paid + 10 days unpaid leave
• Possibility for VW Group car leasing

• Define Edge AI optimized network architecture and deploy end-to-end deep learning solutions for real-time inference in the vehicle
• Conduct in-depth analysis of inference performance and other system variables that impact performance
• Optimize inference and machine learning tasks in C++ and Python
• Implement highly efficient machine learning algorithms on Edge AI embedded hardware
• Work with a growing team of backend engineers, cloud architects, embedded engineers and DevOps experts to develop novel inter-continental (automotive) cloud solutions
• Identify and mitigate project technology risks and execution risks