Senior System Software Engineer - Dfx Software

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior Systems Software Engineer at NVIDIA focused on DFX (Design for Test) Software. The role involves developing methodologies, software, and flows for silicon device testing, debug, and failure analysis. A key aspect is enabling AI applications to optimize software and workflows, integrating advanced CI/CD and testing tools, and solving software engineering challenges related to code generation and developer workflows. Requires strong C++ and Python skills, with experience in AI code generation, tooling, and deep learning applications.

What you'd actually do

  1. Work with design team to understand Hardware specification for Software development
  2. Develop automation Software to enable efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning
  3. Enable AI applications to optimize all aspects of our software and software workflows
  4. Integrating advanced tools for CI/CD, code quality, and automated testing
  5. Solving software engineering challenges, from automating code generation and testing to optimizing developer workflows

Skills

Required

  • Excellent communication skills
  • MS or higher degree in EE or CS (or equivalent experience)
  • 5+ years of strong experience in C++ and Modern C++ Software development in fields related to Silicon testing and Automatic Test Equipment (ATE)
  • strong experience designing and writing software in C++ and have modern C++ techniques with exposure to design patterns
  • 2+ years working with AI code generation, tooling, models and deep learning to develop software applications
  • Practical understanding of modern AI architectures and how to apply them
  • 2+ years of python and scripting skills
  • Good familiarity with gitlab and software development workflows
  • Familiarity with BDD and TDD software development practices

Nice to have

  • Knowledge of Design for Test (DFT) including fault models, ATPG, and fault simulation
  • Familiarity with creating scalable, containerized (e.g., Docker) development environments
  • CUDA and AI/ML knowledge

What the JD emphasized

  • 2+ years of strong experience in C++ and Modern C++ Software development in fields related to Silicon testing and Automatic Test Equipment (ATE)
  • 2+ years working with AI code generation, tooling, models and deep learning to develop software applications
  • Practical understanding of modern AI architectures and how to apply them

Other signals

  • Enable AI applications to optimize all aspects of our software and software workflows
  • Integrating advanced tools for CI/CD, code quality, and automated testing
  • Solving software engineering challenges, from automating code generation and testing to optimizing developer workflows