C++ Software Engineer, Infrastructure Tools - New College Grad 2027

at Nvidia

📍 Santa Clara, United States

USD 108,000-195,500 per year

JUNIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Algorithms @ 3 CI/CD Data Structures @ 3 GPU Git @ 5 Go Machine Learning Perl @ 3 Profiling @ 5 Python @ 3

Details

NVIDIA develops GPU and AI computing technologies. The team is responsible for developing and managing tooling and release infrastructure for chip designers, evolving the infrastructure for newer design architectures while maintaining backward compatibility and ensuring that tools remain reliable and scalable.

Responsibilities

Research, develop, and maintain high-quality tooling for scalable build, regression, and release infrastructure used by chip designers.
Develop user-facing services that enable users to quickly schedule, track, and triage their flows.
Develop internal tools to collect, analyze, monitor, and visualize key metrics from build and deployment systems.
Research and adapt the latest CI/CD practices to continuously evolve the tools and meet industry standards.

Requirements

Bachelor's degree or higher in Computer Science, Computer Engineering, or equivalent experience.
Experience with a compiled language such as C++ or Golang and scripting languages such as Python, Perl, or Tcl.
Experience writing high-quality production code.
Solid understanding of data structures, algorithms, computer architecture, and computer science theory.
Flexibility and adaptability when working in a global environment with different frameworks and requirements.

Preferred Qualifications

Interest or experience in AI/ML and developing agentic workflows.
Proficiency with source control management systems such as Git or Perforce and build systems such as Make, CMake, makepp, or Bazel.
Experience with full-stack development.
Proficiency with C++ linters, memory checking, performance profiling, and code coverage tools.
Experience with distributed computing systems such as LSF.

Benefits

The role includes eligibility for equity and benefits. NVIDIA is an equal opportunity employer committed to an inclusive work environment. Applications will be accepted at least until October 13, 2026.