Linux Kernel Engineer, AI Embedded Operating Systems, AI Platforms

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.
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)
• LGBTQ+ care concierge services
• 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
$104,000 - $300,000/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.