Senior Deep Learning Software Engineer, cuDNN

We're now looking for a Senior Deep Learning Software Engineer for our cuDNN team!

Do you love writing fast code and crafting software systems to solve complex problems? We are looking for hardworking software engineers to help design, build, and ship cuDNN: our GPU-accelerated library of primitives for deep neural networks. Intelligent machines powered by AI computers that can learn, reason, and interact with people are no longer science fiction. This is truly an extraordinary time. The era of AI has begun, and we are powering it. If this role seems like a good match for your skills and interests, tell us why you think you might be a great fit for our team, and we'd love to tell you more about what we do!

What you’ll be doing:

• Develop production-quality software that ships as part of NVIDIA's AI software stack, including cutting edge large language model support.

• Analyze the performance of important workloads, tuning our current software, and proposing improvements for future software.

• Work with cross-collaborative teams of deep learning software engineers and GPU architects to innovate across applications like large language models, 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, testing, and GPU kernel development.

• Mentoring junior engineers on the team.

What we need to see:

• M.S. Degree in Computer Science, Electrical Engineering (or similar), or equivalent experience.

• 4+ years of relevant work or research 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, especially in large language models.

• Experience designing high level software architecture.

• Excellent problem solving skills, including applications of algorithms and data structures.

• 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.

• Strong Experience with data science, statistical analysis, and visualization.

• Previous work on large complex codebases with many other developers, especially libraries, compilers, or system software.

• Track record of identifying new technologies and incorporating them into software development flows.