What to Expect
Consider before submitting an application:
This position is expected to start around May 2024 and continue through the entire Summer term (i.
e.
through August 2024) or into Fall 2024 if available.
We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying.
You must be able to work 40 hours per week on-site.
Many students will be limited to part-time during the academic year.
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent.
Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team.
We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
About the Team:
As a Linux Kernel Engineering Intern within the Autonomy group, you will have the opportunity to apply your technical skills to a variety of system components & foundational code targeting higher performance of Autopilot and Humanoid robot.
The nature of the role means that the code you will write, debug, and maintain will almost always connect with a variety of other components.
You will be building robust code foundations for the autonomy teams to write their applications on top of and evangelize best software practices for the better of Autopilot and Humanoid robot.
You will be a key contributor to the system software that manages one of the most advanced and widely-deployed Autonomy Platforms for Autopilot and our Humanoid Robot.
You will be interacting with members from Hardware and Software teams in developing and deploying Autonomy at scale.
What You’ll Do
Develop and maintain various Linux device drivers such as camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, neural hardware accelerators, PCIE, etc
Define the hardware, software interactions for our next generation fully autonomous car platform and AI computing engine
Develop and bring-up the system software stack that runs on the Autopilot platform and interacts with various sensors in the car
Interact with the hardware and validation teams in bringing the next generation hardware and software to mass production
Innovate with our hardware team to meet design requirements
What You’ll Bring
Strong Linux Kernel in a Systems level environment experience required
Experience developing Linux device drivers for devices such as CSI, ISP, Ethernet, GPU, or flash devices like UFS, eMMC, NVMe, PCIE etc, a plus
Solid C programming skills and experience with embedded Linux programming preferred
C++ Programming required
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