We are now looking for a Systems Software Engineer. Do you like to think creatively and enjoy solving challenges that require innovation? If so, we may have an opportunity for you. In Our team we define and build methodologies, Software, and flows tailored to the field of Silicon device testing, Silicon debug, and Silicon failure analysis. We owe our success to our people, some of the brightest in the world, and a company culture that fosters and encourages innovation, and fuels our creativity!
Our team contributes to the advancement of all the fields in which NVIDIA participate, from gaming to building groundbreaking state-of-the-art compute platforms and Artificial Intelligence, by enabling high quality Silicon defect screening to sustain all these fields. This often requires new ways of thinking in order to meet new challenges, and we pride ourselves in our ability to tackle these challenges in ways that enable our success. If you are a like-minded person who enjoys innovation and likes to solve technical challenges then we would love to hear from you!
What you'll be doing:
- Work with design team to understand Hardware specification for Software development and design and implement these requirements.
- Develop software in modern C++ and various scripting languages to enable design and development of software enabling efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning
- Investigate optimization approaches so our software can run on GPUs
- Utilize AI tooling for software workflows, code generation and optimization
- Integrating advanced tools for CI/CD, code quality, and automated testing
What we need to see:
- Excellent communication skills and strong understanding of hardware and software concepts
- MS or higher degree in EE or CS (or equivalent experience) with 8+ years of experience
- 5+ years of strong experience in C++ and Modern C++ development in fields related to Silicon testing and Automatic Test Equipment (ATE)
- Strong software design and debug skills in a Linux environment
- Good knowledge of standard DevOps workflows and processes
- 2+ years of Python and scripting skills
- Familiarity with BDD and TDD software development practices
Ways to stand out from the crowd:
- Knowledge of Design for Test (DFT) including fault models, ATPG, and fault simulation
- Interest to grow technically and explore new fields such as in Deep Learning and A.I.
- CUDA and AI/ML knowledge as good to have
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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