Software Engineer, TensorRT Specialized Platforms - New College Grad 2025

Posted 8 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
124K-196K Annually
Entry level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Contribute to the development of high-performance AI inference software using C++. Collaborate on technology improvements and support testing and documentation efforts.
Summary Generated by Built In

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.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Masters or PhD in relevant fields
  • Strong foundational C++ skills
  • Familiarity with C++ STL
  • Familiarity with deep learning models
  • Interest in performance optimization
  • Excellent interpersonal skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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