Used Tools & Technologies
Go Machine LearningRequired Skills & Competences
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.
Software Development @ 6
Python @ 4
CI/CD @ 4
Algorithms @ 4
Data Structures @ 4
Git @ 6
Perl @ 4
GPU @ 4
Deep Learning @ 4
AI @ 4
Profiling @ 6
- 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.
Details
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
Our team is responsible for development and management of tooling and release infrastructure for chip designers. We are constantly evolving to meet the demands of 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 that chip designers rely on every day.
- Develop user-facing services that enable designers to quickly schedule, track and triage their flows.
- Develop internal tools to collect, analyze, monitor and visualize key metrics of the 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 in a compiled language (C++ / Golang) and scripting (Python / Perl / Tcl).
- Experience writing production-quality code.
- Solid understanding of data structures, algorithms, computer architecture and computer science theory.
- Flexibility and adaptability for working in a global environment with different frameworks and requirements.
- Strong teamwork skills.
Ways to Stand Out
- 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).
- Experience with full stack development.
- Proficiency with C++ linters, memory check tools, performance profiling, and code coverage tools.
- Experience with distributed computing systems such as LSF.
Compensation & Other Details
- Base salary ranges provided by level:
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- You will also be eligible for equity and benefits (link provided in original posting).
- #LI-Hybrid
- Applications accepted at least until June 2, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.