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Form of work
SalaryNVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. 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. The systems you develop will operate at large scale—being deployed as first class infrastructure to service millions of requests per day in distributed cloud computing environments with thousands of heterogeneous servers. You will continuously innovate and develop scalable, reliable, high performance systems, APIs, and tools to enable the next generation of chips in cooperation with a variety of teams at NVIDIA!
What you'll be doing:
- Design and implement new infrastructure to allow us to automate tasks that enable and audit our security policies.
- Become an expert in our IP security policies and advise engineering teams on how to balance their productivity with the security of our IP
- Participate in the full life-cycle of tool development, test, and deployment of the tools you develop.
- Work closely with a diverse set of internal engineering teams to understand the workflows involved in the capabilities being exposed.
- 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:
- Solid understanding of Python.
- 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 changing requirements.
- Self-motivated and proactive problem solving skills that drive solutions to completion.
- A passion for improving the efficiency and effectiveness of other engineers.
- MS (preferred) or BS in Computer Science or equivalent experience
- 5+ yrs of experience.
Ways to stand out from the crowd:
- 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
- 5+ years industry experience developing with Python.
- Familiarity with chip design, verification, and/or machine learning workflows.
You will also be eligible for equity and
benefits
. NVIDIA accepts applications on an ongoing basis.
