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Nvidia Senior Deep Learning Software Engineer cuDNN 
United States, Texas 
918933515

31.07.2024
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.

You will also be eligible for equity and .