Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms

Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms
Job Category AI & Robotics
Location Palo Alto, California
Req. ID 230344
Job Type Full-time
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
3+ years of experience developing Linux device drivers for devices like CSI, ISP, Ethernet, GPU, PCIE or flash devices like 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 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 + benefits

Pay 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.

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

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Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms
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https://www.tesla.com/careers/search/job/linux-kernel-engineer-ai-embedded-operating-systems-ai-platforms-230344