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