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 Software Engineer 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 developing system tools to benchmark, characterize and optimize the latency and throughput of the autonomy workloads on the FSD chip.
You will write tests and integrate with our evaluation pipeline to ensure the system and functional stability of our stack.
What You’ll Do
Write, debug and maintain robust C/C++ software to the entire Autopilot and Humanoid robot software stack; depending on needs and your interests/skills, you might work on code related to our high-frame rate Camera & Vision stack, write GPU kernels, design and implement low memory footprint image compression libraries, implement high-performance inter-process communication data buffers, improve/extend our image & raw data logging/telemetry code, or make our evaluation/replay software more stable and performant
Optimize hardware resources usage, leverage custom hardware components where appropriate
Advocate for best coding practices amongst the group, build tools helping engineers to write better code (for instance, performance/memory tracking)
Generalize software frameworks when necessary while keeping in mind that too much abstraction can sometimes become a bottleneck
What You’ll Bring
Experience programming C/C++ software, including modern C/C++ (C++14/17/20)
Experience or familiarity with Computer Vision, Machine Learning & related software concepts a plus
Experience with performant software design, object-oriented C++, compiler design and/or hardcore lower-level C code a plus, but preferred.
Proficient developing software on a Linux host, for embedded Linux targets (cross-compilation, etc.
) a plus
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