Lee Trager is a Senior Software Engineer with 11 years of deep expertise in GNU/Linux, operating system design, and open source, now working on BaseOS kernel work at NVIDIA. He has led critical infrastructure projects at Meta, including NIC firmware/driver development for AI platforms, a near-instant firmware update workflow that cut latency by 99.6%, and upstreamed components into the Linux kernel. At Canonical he was a core MAAS engineer maintaining multi-architecture images, designing firmware update systems, and authoring Packer templates for deployable images used in large-scale metal provisioning. Earlier roles at AWS and HP solidified his skills in distribution packaging, system-level tooling, and embedded Linux, while his work spans low-level bootloader/kernel tweaks to fleet-scale reliability programs. Known for mentoring and onboarding engineers, Lee combines pragmatic system design with a knack for making hardware-software integration testable and debuggable (e.g., firmware logging to host and Zephyr/QEMU test support). Based in Seattle, he brings a rare blend of field-facing product ownership and rigorous open-source craftsmanship.
11 years of coding experience
16 years of employment as a software developer
Computer Science Operating systems and artificial intelligence, Computer Science Operating systems and artificial intelligence at Drexel University
Contributions:5 reviews, 74 commits, 5 PRs in 2 years 10 months
Contributions summary:Lee primarily contributed to the creation and modification of Packer templates for creating images deployable to MAAS. Their work involved adding and cleaning up kickstart files for various CentOS and RHEL versions, including CentOS 6, 7, and 8, as well as RHEL 7 and 8. The user addressed issues related to console output and updated the templates by removing unnecessary cloud-init repositories and configuring Grub. These changes enhanced the image creation process, improving its efficiency and reliability.
Contributions:2 PRs, 6 pushes, 6 branches in 1 year 4 months
maas
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