Summary
Mark Indiveri is a Senior Test Engineer in San Jose with nine years at NVIDIA and a long track record building test and failure-analysis infrastructure for GPU and embedded platforms. He combines hands-on hardware debugging—establishing NVIDIA’s first Failure Analysis Lab and procuring the company’s first X‑ray microscope—with software automation skills, scripting Linux-based regression and diagnostics workflows for Tesla and Tegra systems. His work spans test automation, machine vision, deep learning (TensorFlow, DIGITS, PyTorch), and custom fixture and cooling hardware for manufacturing and PVS labs. Known for turning customer return data into process improvements, he pairs an electrical engineering background from DeVry with practical robotics and Task AI applications for in-process inspection. An “old dog” on GitHub, he brings pragmatic, equipment-level ingenuity to complex verification challenges.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Science (BS), Electrical, Electronics and Communications Engineering, Bachelor of Science (BS), Electrical, Electronics and Communications Engineering at DeVry University-California
Leigh High School