Senior C++ Software Engineer - Infrastructure Tools

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
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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 @ 4 Algorithms @ 4 CI/CD Data Structures @ 4 Git @ 6 Go Machine Learning Perl @ 4 Profiling @ 6 Python @ 4 Software Development @ 6

Details

NVIDIA’s team is responsible for development and management of tooling and release infrastructure for chip designers. The tools evolve to meet newer design architectures while maintaining backward compatibility and keeping tools reliable and scalable.

Responsibilities

Research, develop, and maintain high quality tooling for scalable build/regression/release infrastructure relied on by chip designers every day.
Develop user facing services to quickly schedule, track, and triage flows.
Develop internal tools to collect, analyze, monitor, and visualize key metrics of build and deployment systems.
Research and adapt the latest CI/CD practices to constantly evolve the tools and meet industry standards.

Requirements

Bachelor’s degree (or higher) in Computer Science or Computer Engineering or equivalent experience.
3+ years of software development experience.
Experience with a compiled language (C++/Golang) and scripting (Python/Perl/Tcl).
Experience writing good production quality code.
Solid understanding of data structures, algorithms, computer architecture, and computer science theory.
Flexibility/adaptability for working in a global and wide-ranging environment with different frameworks and requirements.
Great teammate.

Ways to stand out from the crowd

Interest or experience in AI/ML and developing agentic workflows.
Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, makepp, Bazel).
Experienced with full stack development.
Proficiency in C++ linter, memory check, performance profiling, and code coverage tools.
Experienced with distributed computing systems such as LSF.