Are you passionate about transforming the world of realtime 3D rendering with AI? If so, we have an exciting opportunity for you. Join Intel XeSS Research and Development team and be at the forefront of revolutionizing real-time 3D rendering with AI algorithms and neural rendering techniques. As a part of our team, you'll delve deep into architecture, design, and development of optimized AI-based rendering software libraries, SDKs and algorithms for 3D game developers.
We are looking for a highly motivated senior AI Rendering Research and Development engineer with a strong AI and 3D graphics background, and expertise in neural rendering techniques with track record in delivering and leading successful AI software projects. Working together with world-class AI and Graphics engineers, you will be developing deep learning solutions for 3D gaming, with focus on advanced techniques to provide dramatic performance and quality boost.
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 of software development experience.
2+ years of experience with the 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.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.