Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms

6 Days Old

As a Linux Kernel Engineer within the AI Embedded OS team, you will be a key contributor to the platform software that powers one of the most advanced and widely deployed AI platforms supporting autonomy for our cars, humanoid robot, and beyond. You will collaborate closely with both hardware and software teams to develop and deploy embedded operating system features that enable AI inference at scale. Your work will influence both current and future generations of AI silicon and platforms.
Responsibilities
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 3+ years of experience developing Linux device drivers for devices like CSI, ISP, Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMe Requirements 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 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
Compensation and Benefits Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA 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 (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Expected Compensation $111,200 - $355,920/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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Location:
Palo Alto, CA, United States
Job Type:
FullTime
Category:
Computer And Mathematical Occupations

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