Nvidia Principal Software Engineer Deep Learning Inference 

United States, California 

901463034

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.