Autopilot Foundations Internship C/C++

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Job Description

What to Expect

nternational Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. Again, please do not apply until you know you can work 40 hours per week. Many students will be limited to part-time during the academic year.

Internship Program at Tesla

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. Instead of going on coffee runs and making copies, our interns have a seat at the table and make critical decisions that will influence not only their team, but the overall achievement of Tesla’s mission.

Locations

• Palo Alto, CA

About the Team

As a Software Engineering Intern within the Autopilot Foundations 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.
  • Interns may 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

  • Currently working towards a BS, MS, or advanced degree in a relevant engineering program such as Computer Science, Computer Engineering, or Electrical Engineering.
  • Experience programming in C/C++, modern C/C++ (C++14/17/20) is a huge plus.
  • Experience or familiarity with Computer Vision, Machine Learning & related software concepts is?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.)?is a plus.
  • Experience with at least one of the following is a plus: imaging software, Cuda/OpenCL, SIMD, multithreading, Linux system software (posix etc.), & computer vision.

Company Info.

Tesla

Tesla, Inc., headquartered in Austin, Texas, is an American multinational corporation specializing in electric vehicle design and manufacturing, as well as the production of stationary battery energy storage solutions spanning from residential to grid-scale applications. Additionally, Tesla offers a range of solar panels, solar shingles, and complementary products and services within the clean energy sector.

  • Industry
    Automotive,Energy,Autonomous technology
  • No. of Employees
    127,000
  • Location
    13101 Tesla Road, Austin, TX, USA
  • Website
  • Jobs Posted

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