Linux Kernel Engineer, AI Embedded Operating Systems, ...

OverviewLinux Kernel Engineer, AI Embedded Operating Systems, AI Platforms role at Tesla. Join to apply for this role as part of the AI Embedded OS team, contributing to the platform software powering one of the most advanced AI platforms supporting autonomy for cars, humanoid robots, and beyond. You will collaborate with hardware and software teams to develop and deploy embedded operating system features that enable AI inference at scale and influence current and future generations of AI silicon and platforms.What You'll DoPre/Post-silicon Linux bring-up to mass production of the next generation AI chipDevelop and maintain Linux device drivers for AI inference hardware accelerators, camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, and PCIePort and maintain Linux Kernel for the custom AI system-on-chip and apply preempt RT patchesDefine the hardware, software interactions for our next generation fully autonomous car platform, Humanoid Robot and expanding AI inference use-casesDevelop and bring up the system software stack that runs on the AI platform and interacts with various sensors in the car and robotDevelop features and system software tools to enhance functionality, performance, and power of the AI platformsWrite well-structured, testable, efficient, and maintainable codeIntegrate software components into a fully functional software system3+ years of experience developing Linux device drivers for devices like CSI, ISP, Ethernet, GPU, PCIe or flash devices like UFS, eMMC, NVMeWhat You'll BringEngineering Degree in a relevant field, or equivalent experienceStrong Linux Kernel/Driver/RTOS experienceExperience with board or SoC bring-up for ARM64, RISC-V, or x86 platformsSolid C programming skills and experience with embedded Linux programmingGood software practices such as code reviews, clean coding style, and documentationExcellent problem solving, critical thinking and communication skillsExperience with performance analysis and tracing tools such as perf/ftraceExperience with JTAG in bring-up, profiling, or debuggingExperience with pre-silicon emulation/simulation environmentsExperience with V4L2, RDMA, Realtime-Linux is desirableBenefitsCompensation and BenefitsAlong 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 deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans with options for $0 paycheck contributionCompany Paid HSA contributions when enrolled in the High Deductible Aetna medical planHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&D, short-term and long-term disability insuranceEmployee Assistance ProgramSick and Vacation time, and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits including critical illness, hospital indemnity, accident insurance, and moreTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation$111,200 - $355,920 per year + cash and stock awards + benefits. Pay offered may vary based on location, knowledge, skills, and experience. The total compensation package may include other elements dependent on the position offered.Additional DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Information TechnologyIndustries: Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities #J-18808-Ljbffr

Created: 2025-09-17