Software Engineer, TensorRT Specialized Platforms - New College Grad 2025
at Nvidia
USD 120,000-189,800 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 C @ 3 C++ @ 2 Performance Optimization @ 3 CUDA @ 3Details
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 contribute to high-performance AI inference solutions for specialized platforms and applications. This role is targeted at new college graduates (2025) and involves working with modern C++ to design, implement, and optimize inference software, collaborating across hardware and software teams, and contributing to test plans, documentation, and benchmarking.
Responsibilities
- 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.
Requirements
- Masters or PhD in a relevant field (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
- 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.
Compensation & Benefits
- Base salary range: 120,000 USD - 189,750 USD (final base determined by location, experience, and internal pay bands).
- Eligible for equity and company benefits (see NVIDIA benefits page).
Additional information
- Position type: Full time.
- Location: Santa Clara, CA, United States.
- Applications accepted at least until August 30, 2025.
- NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.