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Python Software Engineer, Security And System Tools – New College Grad 2023
Company | NVIDIA |
Address | Santa Clara, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing,Software Development,Computers and Electronics Manufacturing |
Expires | 2023-08-21 |
Posted at | 9 months ago |
As a software engineer in our Internal Infrastructure Group, you will continuously innovate and develop scalable, reliable, high-performance systems, APIs, and tools to allow us to build the next generation of chips in partnership with a variety of teams at NVIDIA! Your excellent technical and soft skills will allow you to maintain a tight feedback loop with internal customer to provide vital software solutions for emerging chip technologies. The systems you develop and extend will operate at large scale—being deployed as outstanding infrastructure to service millions of requests per day in distributed cloud computing environments with thousands of heterogeneous servers.
- Work closely with a diverse set of internal engineering teams to understand the workflows your tools and libraries enable and support.
- Participate in the full life cycle of tool development, test, and deployment of the tools you develop.
- Directly support the engineers who use the software you develop.
- Directly contribute to the overall quality of and improve time to market for our next generation chips and deep learning models.
- Design and implement tools in Python and other languages to enable the design, development, and verification of GPUs and other chips.
- Capable with Linux development programming tools.
- Experience with end-to-end Python package delivery ecosystem; from design and development through documentation, CI/CD, packing, distribution, and maintenance.
- Confident understanding of object-oriented programming concepts—including design patterns.
- Completing a BS or MS in Computer Science or similar field (or equivalent experience).
- Familiarity with chip design, verification, and/or machine learning workflows.
- Experience in building or interacting with continuous integration and continuous delivery systems.
- Experience developing and deploying widely used software tools and APIs at scale.
- Understanding of distributed and microservice architecture principles.
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