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# Embedded Linux OS Architect

- **Company:** Microsoft
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Software Debugging, Linux, Memory Management, Integrated Development Environments, Linux Kernel, PCI Express, Subsystems
- **Published:** June 7, 2026
- **Apply:** https://careers.mobileye.com/jobs/embedded-linux-os-architect/cbb56190-180f-4d21-8a21-95418a3eb8a5

## About the Role

* Very strong experience in the Linux Kernel architecture, OS Internals and subsystems (Memory Management, IO, Storage, Networking)
 * Deep understanding of PCIe standard, topologies and it's applications.
 * Very good understanding of HW architecture and high bandwidth applications.
 * Strong experience in Performance Analysis and Debugging techniques.
 * Experience with HW architectures (MIPS & RISCV) and their implementation in the operating system is a big advantage.
 * Experience in the user space is a good advantage.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

## Description

Mobileye Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs. This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.

What will your job look like?

 * Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
 * Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
 * Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
 * Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
 * Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.


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