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# Software Engineer, Linux Kernel, Tesla SI

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Experienced
- **Salary:** $140,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, C (Programming Language), Adobe Flash, Profiling, Code Review, Software Debugging, Linux, Device Drivers, Ethernet, Joint Test Action (IEEE Standards), Linux Kernel, Linux-Powered Devices, PCI Express, Real-Time Operating Systems, Reduced Instruction Set Computing, System on a Chip, System Software, Console System Interface, Perf (Linux), Hardware Acceleration, EMMC, Nvme
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87899124/1

## About the Role

* Engineering Degree in a relevant field, or equivalent experience
 * Strong C-programming skills and Linux Kernel/RTOS experience preferred
 * 3+ years of experience developing Linux device drivers for devices like CSI, Ethernet, PCIE or flash devices like UFS, eMMC, NVMe
 * Experience with board or SoC bring-up for ARM64, RISC-V, or x86 based platforms
 * Good software practices such as code review, clean coding style and documentation
 * Excellent problem solving, critical thinking and communication skills
 * Experience with performance analysis and tracing tools such as perf/ftrace
 * Experience with JTAG in any aspect of bring-up, profiling, or debugging
 * Experience with pre-silicon emulation/simulation environments
 * Experience with V4L2, Realtime-Linux is desirable

## Description

As a Linux Kernel Engineer within the Tesla SI Linux and Sensors team, you will be a key contributor to the system software that powers one of the most advanced and widely deployed SI solutions. You will collaborate closely with both SI silicon and SI software teams, to develop and deploy operating system features that enable a wide range of Tesla SI products, including vehicle autonomy, humanoid robotics, and next-gen inference platforms. Your work will influence both current and future generations of SI silicon and platforms.
What You'll Do

 * Pre/Post-silicon Linux bring up to mass production of the next generation SISOC
 * Develop andmaintainLinux device drivers for SI inference hardware accelerators, camera capture, Ethernet, UFS, and PCIE
 * Port andmaintainRTLinux Kernel for the custom SI system-on-chip
 * Define the hardware, software interactions for our next generation fully autonomous car platform, HumanoidRobotand the expanding SI inference use-cases
 * Develop and bring-up the system software stack that runs on the SI platform and interacts with various sensors in the car, robot
 * Develop features, system software tools in enhancing the functionality,performanceand power of the SI platforms
 * Write well-structured, testable, efficient, and maintainable code
 * Integrate software components into a fully functional software system