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NVIDIA • Shanghai, Shanghai, China
Role & seniority: SAI software verification engineer (mid-to-senior, 5+ years of software engineering experience)
Stack/tools: Python (strong), C, Linux concepts, automation/test frameworks, Continuous Integration, regression tooling, open-source development/review processes
Design and implement robust, maintainable automation test suites for NVIDIA SAI
Work with CI/regression tools: automate builds, run tests, generate reports, isolate/classify failures, review degradation
Develop high-quality code, own feature development, and contribute to open-source SAI implementations
B.Sc. in Engineering/CS or equivalent experience; 5+ years as a software engineer
Proficiency in Python; strong C background; solid Linux knowledge
Ability to understand, debug, and improve complex third-party code; strong problem-solving and design skills; excellent English communication
Ability to lead feature development and deliver independently
Networking knowledge (Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3)
Prior software testing experience and familiarity with testing tools/methodologies
Linux user/kernel development experience
Python specialization
Location & work type: not specified in the description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. We are looking for a SAI software verification engineer to join our SAI development team. As a Verification Engineer at NVIDIA, you will work closely with NVIDIA’s development and architecture teams responsible for SAI design and gain deep understanding of NVIDIA products and technologies.
What You’ll Be Doing
Be part of NVIDIA SAI multi-national R&D team, contribute code to SAI community and Nvidia SAI implementation. Design and implement robust, maintainable, and efficient automation test suite. Work with continuous integration systems, regression tools, automate builds, run test suites, generate test reports, isolate and classify failures and review new degradation. Work with experienced teams which are well known in the SAI community. Develop high quality code, most of the code is open source and published and reviewed in industry leading open source environments.
What We Need To See
B. Sc. degree or equivalent experience in Engineering/Computer Science/related field.
Linux knowledge: have a general understanding of Linux operation system concepts. C experience and extensive knowledge. Ability to understand, debug and improve 3rd party complex code. Excellent communication in English and leading skills.
Ways To Stand Out From The Crowd
Knowledge in one or more of the following Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols. Prior software testing experience, with an understanding of Software Testing Tools and Methodologies. Experience in development in Linux (user and/or kernel modes). Python specialist.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
NVIDIA is committed to encouraging 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, disability status or any other characteristic protected by law.
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