NVIDIA has continuously reinvented itself over two decades Our invention of the GPU in 1999 sparked the growth of the PC gaming market redefined modern computer graphics and revolutionized parallel computing More recently GPU deep learning ignited modern AI the next era of computing NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to resolve that only we can seek and that matter to the world This is our life s work to amplify human inventiveness and intelligence NVIDIA silicon solutions group is seeking hardworking engineers to be part of a post silicon HW team As a member of this team you will dive into next-gen high speed interconnects like PCIe NVLink and C2C to plan and lead post silicon validation This position offers the prospect to have real impact in a dynamic technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence What you ll be doing Develop strategies and infrastructure for next generation HSIO bring up validation and product integration with a deep understanding of IO design specs use case and topologies Ensure interoperability with connected devices and system components in complex interconnect topologies Deep dive into technically challenging HSIO bugs and help drive debug efforts across various teams Work on system level power strategies to continue pushing performance in power constrained systems Work closely and proactively with other engineering teams such as system architects mixed signal and design DGX software firmware HW SW QA operations and AE teams to drive design development debug and release of next generations products What we need to see BS or MS degree in EE CE or equivalent experience Minimum 2 years working in post-silicon bringup HSIO Functional validation and or power optimisations Experience with HSIOs like PCIE or USB including understanding of process temp voltage sensitivity on BER Experience with system level and interconnect power management optimisations Understanding of electrical tuning performance challenges of HSIO Understanding of firmware driver structures and their interaction with HW Hands-on validation lab experience with silicon bringup lab debug and lab tools oscilloscopes multimeters logic analysers Strong EE fundamentals knowledgeable in computer architecture high speed interfaces timing analysis process variations statistical error rates and power analysis Excellent problem solving teamwork and interpersonal skills Background with automation scripting in languages such as Perl Python tcl Experience with Linux NVIDIA is widely considered to be the leader of AI computing and one of the technology world s most desirable employers We have some of the most forward-thinking and talented people in the world working for us If you re creative and autonomous we want to hear from you LI-Hybrid