Software Engineer, TensorRT Specialized Platforms - New College Grad 2025

Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology? Join NVIDIA's TensorRT team as a Software Engineer, and be at the forefront of technology, contributing to high-performance AI inference solutions for specialized platforms and applications. Your fresh perspective and technical skills will help shape the performance and functionality of our products, ensuring NVIDIA remains synonymous with innovation. If you're ready to tackle challenging projects, push the boundaries of AI performance, and make a significant impact in a company that values creativity, excellence, and teamwork, we want to hear from you!

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

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, come join our team and help us build the future of high-performance AI inference technology!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.