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Nvidia Principal Software Engineer Deep Learning Inference 
United States, California 
901463034

18.08.2024

What you'll be doing:

  • Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime.

  • Work closely with teams and stakeholders across the whole hardware and software stack to understand and leverage new features to improve TensorRT’s functionality and performance.

  • Guide the design and implementation of robust, high-quality C++ code in alignment with Modern C++ standards.

  • Contribute to the continuous improvement of software practices and processes within the team.

What we need to see:

  • Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI).

  • At least 15 years of relevant software development experience.

  • Strong C++ skills, including knowledge of and application of best practices with C++11 and C++14.

  • Familiarity with deep learning concepts and frameworks.

  • A track record of taking initiative and driving projects to completion.

  • Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems.

Ways to stand out from the crowd:

  • Proficiency with Python and/or CUDA, ideally with experience in a professional environment.

  • Background with systems programming, embedded systems, and/or compiler development.

  • Experience in software performance benchmarking, profiling, and optimizations.

  • Experience with state-of-the-art deep learning models (such as Large Language Models) & frameworks for inference.

  • Experience with C++17.

You will also be eligible for equity and .