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.
5+ years of experience as a Software Engineer.
Intrinsically motivated with a desire for automation programming.
Strong programming skills in Python.
Strong technical abilities, problem solving skills, coding and design skills.
Ability to lead feature development, take full ownership and deliver independently.
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).