Do you want to join the team that is responsible for creating the diagnostic test programs which serve as a final test for millions of chips before they are sent to our customers? We bring together different pieces of software, firmware, and settings, working through issues with several teams to deliver these programs to our manufacturing partners. We monitor the performance of these programs, working to improve their efficiency and effectiveness. As a member of our system level test (SLT) test engineering (TE) group, you will create and verify the diagnostic programs that test NVIDIA's state of the art GPU products.What you'll be doing:Build, validate, and support the manufacturing test programs for our GPU products.We work with many different groups including ASIC, ATE, systems/silicon validation, software, VBIOS, product engineering, and production teams to coordinate efforts to resolve test program issues.Initiate and drive process improvements, using existing automation frameworks and creating new tools.What we need to see:Pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or Computer Science (or equivalent experience)Ability to quickly narrow down and solve issues in complex stacks of hardware and software.Comfort working with and a strong understanding of the Linux OS, including some understanding of low level software drivers and kernel.Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization.Ways to stand out from the crowd:Strong Python skills.A desire to automate all the things!Knowledge of the silicon manufacturing and test process.
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