AI Software Engineering Intern

Intel's Silicon and Platform Engineering Group (SPE) delivers breakthrough silicon and platform solutions, including the oneDNN open source project, a cross-platform library optimizing neural network performance for Intel hardware and popular AI frameworks.

Minimum qualifications:

• Currently pursuing a degree (3rd or 4th year preferred) in Computer Science, Mathematics, or a related field
• Able to work part-time for the full duration of the internship
• Comfortable communicating in English
• Solid C/C++ programming skills on Linux and/or Windows
• Good understanding of algorithms and data structures
• Strong problem solving skills with a curious and open-minded mindset
• Motivated, proactive, willing and able to learn quickly

Preferred Requirements:

• Experience or familiarity with SYCL or CUDA
• Background in mathematics, especially matrix-vector operations
• Experience using version control systems such as Git and GitHub
• Familiarity with remote development using Microsoft Visual Studio
• Experience with Linux systems programming
• Interest or experience in performance debugging and optimization

• Develop new features and algorithms optimized for Intel CPUs, integrated graphics, and discrete GPUs
• Improve performance for current and future Intel hardware
• Learn low-level performance tuning, hardware-aware parallel programming, and assembly-level optimization

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, sexual orientation, or any other characteristic protected by local law. This role is eligible for a hybrid work model allowing split time between on-site and off-site work.