Senior Python Software Engineer, Security

3 Months ago • 5 Years + • Cyber Security

Job Summary

Job Description

As a Senior Python Software Engineer specializing in security at NVIDIA, you'll design and implement secure infrastructure tools and libraries. This involves the full life cycle of tool development, from design and testing to deployment. You will collaborate with engineering teams across NVIDIA, ensuring secure workflows for chip development, verification, and AI. Your contributions will directly impact the quality and time-to-market for next-generation chips and deep learning models. Responsibilities include building secure workflows, auditing IP security policies, working with large data sets, and improving overall engineering efficiency.
Must have:
  • Python expertise
  • Strong software engineering skills
  • Linux development experience
  • OOP skills and design patterns
  • Excellent communication skills
Good to have:
  • Team leadership experience
  • Experience with auditing tools/automation
  • Knowledge of databases (Mongo, Elk)
  • Export control compliance/IP security knowledge
  • Familiarity with chip design/ML workflows

Job Details

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
 

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.
     

#LI-Hybrid

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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