6 days ago
Base Salary
$108k - $196k/yr
Responsibilities
- Research, develop, and maintain scalable build, regression, and release infrastructure for chip designers.
- Develop user-facing services for scheduling, tracking, and triaging design flows.
- Build internal tools to collect, analyze, monitor, and visualize build and deployment metrics.
- Research and adapt CI/CD practices to improve tooling and meet industry standards.
Requirements
- Bachelor's degree or higher in Computer Science or 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 production-quality code.
- Solid understanding of data structures, algorithms, computer architecture, and computer science theory.
- Flexibility and adaptability in a global environment with varied frameworks and requirements.
- Interest or experience in AI/ML and developing agentic workflows is preferred.
- Proficiency with source control and build systems such as Git, Perforce, Make, CMake, makepp, or Bazel is preferred.
- Full-stack development experience is preferred.
- Experience with C++ linting, memory checking, performance profiling, and code coverage tools is preferred.
- Experience with distributed computing systems such as LSF is preferred.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications accepted at least until October 13, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.