Algorithm Engineering Intern (GPU/CUDA)

About the Role

• Accelerate and optimize image-processing and computer vision algorithms on GPU platforms.
• Focus on delivering high-impact work across your area of expertise to advance business priorities.

Key Responsibilities

• Play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Requirements & Tech Stack

• Strong programming skills in C/C++.
• Hands-on experience developing CUDA applications and writing CUDA kernels.
• Understanding of GPU architecture and parallel programming concepts.
• Experience with Linux-based software development environments.
• Strong analytical, debugging, and problem-solving skills.
• Proficient in writing CUDA kernels for image-processing or similar compute-intensive workloads.
• Strong knowledge of CUDA kernel optimization techniques for improving compute efficiency and memory performance.
• Strong understanding of performance optimization techniques and hardware-aware software design.

Qualifications

• Currently pursuing an M.S. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.