Software Engineer, cuDNN - Deep Learning

proposing improvements for future software.

• Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like generative AI, autonomous driving, computer vision, and recommender systems.

• Adapt to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, performance modeling, testing, and GPU kernel development.

• Mentoring junior engineers on the team.

What we need to see:

• M.S. degree in computer science (or similar) or equivalent experience.

• Strong programming skills in C/C++ development, work experience with CUDA development, and familiarity with Python.

• Good understanding of linear algebra.

• Familiarity with the latest trends in machine learning.

• Experience designing high level software architecture.

• Experience with performance analysis, profiling, and code optimization.

• Ability to work independently, define project goals and scope, and lead your own development effort.

Ways to stand out from the crowd:

• GPU programming and optimization expertise (e.g. CUDA or OpenCL).
• Practical experience with machine learning, especially deep learning.
• Experience with computer architecture and building performance models for CPUs, GPUs, or other accelerators.
• Excellent problem solving skills, including applications of algorithms and data structures.
• Strong experience with data science, statistical analysis, and visualization.