Intel AI Research Development Engineer m/w/d 

Germany, North Rhine-Westphalia 

116665972

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum qualifications:

• Bachelor's degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 6+ years of software development experience
• Or Master's degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 4+ years of software development experience
• Or PhD in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 2+ years software development experience.

2+ years of experience with software following:

• Developing AI models leveraging modern model architectures and approaches dealing with 3D Graphics and/or Visual Computing domains.
• Building custom AI training datasets and performing AI model training.
• Strong knowledge and practical experience with PyTorch.
• Solid Python programming skills.
• Knowledge of broad range of AI algorithms and principles.
• Realtime or physical-based 3D Graphics rendering.
• Optimizing Deep Learning inference algorithms for GPU architectures.
• Advanced Python and GPU programming (CUDA, OpenCL, DPC++)

Preferred Qualifications:

• Deep knowledge of GPU or Deep Learning Accelerator architectures.
• Digital signal processing expertise.

Experienced HireShift 1 (Germany)Virtual Germany

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. However, you must live and work from the country specified in the job posting, in which Intel has a legal presence. Due to legal regulations, remote work from any other country is unfortunately not permitted. * Job posting details (such as work model, location or time type) are subject to change.