Senior Deep Learning Software Engineer, cuDNN

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.

The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.