Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms, Palo Alto, CA

Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms

2 Days Old

What to Expect As a Linux Kernel Engineer within the AI Embedded OS team, you will be a key contributor to the platform software powering one of the most advanced AI platforms supporting autonomy for cars, humanoid robots, and beyond. You will collaborate closely with hardware and software teams to develop and deploy embedded operating system features that enable AI inference at scale. Your work will influence current and future generations of AI silicon and platforms.

Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates. What You'll Do Pre/Post-silicon Linux bring-up and 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 robots, and 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 cars and robots Develop features and system software tools to enhance the functionality, performance, and power efficiency of AI platforms Write well-structured, testable, efficient, and maintainable code Integrate software components into a fully functional system Require 3+ years of experience developing Linux device drivers for devices like CSI, ISP, Ethernet, GPU, PCIe, or flash devices such as UFS, eMMC, NVMe

What You'll Bring Engineering degree in a relevant field or equivalent experience Strong Linux Kernel/Driver/RTOS experience preferred Experience with board or SoC bring-up for ARM64, RISC-V, or x86 platforms Solid C programming skills and experience with embedded Linux programming Good software practices such as code review, clean coding, and documentation Excellent problem-solving, critical thinking, and communication skills Experience with performance analysis and tracing tools like perf and ftrace Experience with JTAG for bring-up, profiling, or debugging Experience with pre-silicon emulation/simulation environments Desirable: experience with V4L2, RDMA, Realtime-Linux

Compensation and Benefits Benefits As a full-time Tesla employee, you are eligible for the following benefits from day 1 of hire: Aetna PPO and HSA plans with 2 medical options and $0 payroll deduction Family-building, fertility, adoption, and surrogacy benefits Dental (including orthodontics) and vision plans with $0 paycheck contribution options Company-paid HSA contributions when enrolled in the High Deductible Aetna medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company-paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and vacation time (flexible for salaried positions), paid holidays Back-up childcare and parenting support resources Voluntary benefits: critical illness, hospital indemnity, accident insurance, legal services, pet insurance Weight loss and tobacco cessation programs Tesla Babies program Commuter benefits Employee discounts and perks Expected Compensation$111,200 - $355,920 per year, plus cash and stock awards, and benefits. Salary may vary depending on location, experience, and skills. Additional elements may be included based on the offered position. Details will be provided if an employment offer is extended.

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Location:: Palo Alto, CA
Salary:: $150
Job Type:: FullTime
Category:: Engineering

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