NVIDIA

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 and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that matter to the world, and that only we can tackle. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. Make the choice to join us today.

As a software engineer in our Internal Infrastructure Group, you will craft Python-based infrastructure tools and libraries for teams monitoring and following up on issues with workflows and the security of our IP. This will enable workflows for worldwide chip development, verification, and artificial intelligence. You will continuously innovate and develop scalable, reliable, best in class systems, APIs, and tools to enable the next generation of chips in cooperation with the best engineers in the world at NVIDIA!

What you'll be doing:

• Design and implement new infrastructure to allow us to enable secure workflows and help audit IP security policies.
• Experience the full life-cycle of tool design, test, and deployment of the tools you help build.
• Work closely with a diverse set of NVIDIA engineering teams to understand the workflows engineers use to deliver groundbreaking products and services.
• Directly contribute to the overall quality of and improve time to market for our next generation chips and deep learning models.

What we need to see:

• Understanding of Python language and standard development processes.
• Proven strong software engineering skills and craftsmanship.
• Experience with Linux development programming tools.
• Proven object-oriented programming skills including design patterns.
• Strong interpreted language application skills.
• Excellent planning and interpersonal skills.
• Flexibility/adaptability working in a dynamic environment with unique challenges and requirements.
• Self-motivated and proactive problem solving skills that drive solutions to completion.
• A passion for improving the efficiency and effectiveness of other specialists and engineers.
• MS (preferred) or BS in Computer Science/Engineering with 5+ years experience using those skills.

Ways to stand out from the crowd:

• Consistent track record of leading small to medium sized teams of developers
• Experience with auditing tools or automation in linux
• Knowledge of databases, data lakes, and operating on large data sets (Mongo, Elk, DBs)
• Familiarity with export control compliance or IP Security
• Familiarity with chip design, verification, and/or machine learning workflows.