Yinghai Lu
Senior Staff Autopilot Software Engineer at Tesla
California, United States
Summary
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SeniorYinghai Lu is a Senior Staff Autopilot Software Engineer based in California with 26 years of deep systems software experience, currently driving low-level autopilot and platform work at Tesla. He is a long-time Linux kernel and firmware specialist—contributing CPU initialization, early memory, IRQ, PCI and ACPI support in arch/x86 and coreboot code for x86 CPUs and chipsets. Prior roles at Oracle, Sun, AMD and Tyan reflect a career focused on bridging firmware, kernel internals and production systems across both engineering and managerial tracks. His open-source work includes enhancing kernel dynamic array support for IRQ handling and boot-time memory allocation, a subtle but influential improvement that eased large-array management during early kernel init. Known for pragmatic solutions to hardware-software integration challenges, he combines hands-on kernel patches with architecture-level thinking that benefits complex embedded and automotive platforms.
26 years of coding experience
20 years of employment as a software developer
Github Skills (8)
kernel10
c-programming10
linux-kernel10
interrupt-handling9
interrupt9
x868
assembler7
assembly7
Programming languages (1)
Github contributions (5)
jonsmirl/mpc5200
Jun 2007 - Feb 2009
Digispeaker
Role in this project:
Back-end Developer
Back-end DeveloperContributions:401 commits in 1 year 7 months
Contributions summary:Yinghai primarily focused on extending the Linux kernel to support dynamic arrays, specifically for interrupt request (IRQ) handling. Their work involved adding a "after_bootmem" flag for 32-bit x86 architectures and introducing generic dyn_array support for managing large arrays during kernel initialization. These changes included defining new data structures, allocating memory via bootmem, and integrating dyn_array functionality into the kernel's main initialization process and per-CPU data structures. Furthermore, the user modified the io_apic code to leverage the new features.
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