Nvidia Software Engineer TensorRT Specialized Platforms - New College Grad 

United States, California 

428396182

What you'll be doing:

• Contribute to the design and development of high-performance deep learning inference software using modern C++

• Collaborate with teams across the hardware and software stack to understand and leverage new technologies to improve TensorRT's functionality and performance

• Participate in the development of robust, high-quality C++ code in alignment with Modern C++ standards

• Support systematic reasoning about test plans from unit to integration level

• Assist in documenting the properties of functions, classes, and systems to improve robustness

• Contribute to performance optimization and benchmarking efforts

• Help develop new features and capabilities for TensorRT to serve specialized customer needs

What we need to see:

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

• Strong foundational C++ skills, including familiarity with C++11 and C++14 or newer standards

• Familiarity with the C++ Standard Template Library (STL)

• Familiarity with modern deep learning models and inference frameworks

• Interest in performance optimization and systems programming

• Demonstrated ability to take initiative and see projects through to completion

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

Ways to stand out from the crowd:

• Experience with Python and/or CUDA through coursework, internships, or personal projects

• Exposure to systems programming, embedded systems, and/or compiler concepts

• Experience in software performance analysis, profiling, or optimization techniques

• Knowledge of C++17 or later standards

• Understanding of computer architecture, memory management, or parallel computing concepts