Simone Kennedy is a seasoned software engineer with 14 years of experience building tooling and automation that scale across global teams, currently driving productivity improvements at NVIDIA from Mountain View. She specializes in scripting and orchestration (Python/Perl), web apps (Django), and embedded/firmware systems, with a track record of turning manual build and SCM processes into automated pipelines that tripled throughput for core teams. Her earlier work at MicroStrain fused real-time sensor integration, Kalman filtering research, and cloud-fed data pipelines, bridging embedded C/C++ firmware with AWS-backed services. Comfortable collaborating with QA and cross-business units, she pairs systems-level rigor with practical dashboards and device-side apps to make complex processes visible and measurable. Simone holds an MS in Computer Science and brings a blend of embedded systems depth and large-scale automation expertise that often surfaces in behind-the-scenes developer productivity wins.
14 years of coding experience
3 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Vermont
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