Software Engineer, CUDA Deep Learning

Job Summary

Seeking an experienced Software Engineer, CUDA Deep Learning for a full-time position focused on pioneering optimizations and systems design at the intersection of CUDA and deep learning technologies, with responsibilities including research, prototyping, and collaborating with cross-functional teams, available in Santa Clara, Austin, or remote.

Key responsibilities

• Explore and prototype novel systems optimizations for advanced deep learning models using modeling and simulation
• Architect and optimize distributed computing systems for scalability from single nodes to cluster-scale environments
• Design and implement high-performance CUDA kernels tailored to emerging neural network architectures

Required qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field
• 2+ years of relevant industry or academic experience post-degree
• Strong proficiency in C++ and Python programming
• Solid background in deep learning fundamentals with a focus on transformers
• Understanding of distributed computing principles and performance challenges in cluster-scale execution