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
Develop automation Software to enable efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning
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
Work with multi-functional teams to assess and tackle problems that involve multiple areas of expertise through the company
What we need to see:
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
Ways to stand out from the crowd:
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 as good to have
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- MS or higher degree in Electrical Engineering or Computer Science or equivalent experience
- 3+ years of strong experience in C++ and Modern C++ Software development
- 2+ years working with AI code generation, tooling, models and deep learning
- 2+ years of python and scripting skills
- Good familiarity with gitlab and software development workflows
- Familiarity with BDD and TDD software development practices
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
