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Tesla Linux Kernel Engineer AI Embedded Operating Systems Self 
United States, California, Palo Alto 
463961128

13.08.2024

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What to Expect

As a Linux Kernel engineer within the AI Embedded OS team, you will be a key contributor to the platform software that manages one of the most advanced and widely deployed AI Platforms that power Autonomy for our Cars, Humanoid Robot and beyond. You will be interacting with members from Hardware and Software teams in developing and deploying embedded operating system features for AI Inference at scale. You will influence both current and future generation AI silicon and platforms.

What You’ll Do
  • Pre/Post-silicon Linux bring up to mass production of the next generation AI chip
  • Develop and maintain Linux device drivers for AI inference hardware accelerators, camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, and PCIE
  • Port and maintain Linux Kernel for the custom AI system-on-chip and apply preempt RT patches.
  • Define the hardware, software interactions for our next generation fully autonomous car platform, Humanoid Robot and the expanding AI inference use-cases
  • Develop and bring-up the system software stack that runs on the AI platform and interacts with various sensors in the car, robot
  • Develop features, system software tools in enhancing the functionality, performance and power of the AI platforms
  • Write well-structured, testable, efficient, and maintainable code
  • Integrate software components into a fully functional software system
What You’ll Bring
  • 3+ years of experience developing Linux device drivers for devices like CSI, ISP, Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMe
  • Strong Linux Kernel/Driver/RTOS experience preferred
  • Experience with board or SoC bring-up for ARM64, RISC-V, or x86 based platforms
  • Solid C programming skills and experience with embedded Linux programming
  • 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, RDMA, Realtime-Linux is desirable

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