Internship, Embedded Systems Software Engineer, AI Platforms (Summer 2025)
Consider before submitting an application:
This position is expected to start around May 2025 and continue through the Summer term (approximately August 2025) or into Fall 2025 if available and there is an opportunity to do so. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not 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.
Location: Palo Alto, CA
What You'll Do
Bring up RTOS (Real Time Operating Systems) on the next generation of embedded systems for Tesla autonomy
Deliver high-quality C code in a real-time embedded environment
Develop and maintain Linux device drivers for AI interface hardware accelerators, camera capture, ISP (Image Signal Processors), GPU, Ethernet, UFS, and PCIE
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 and robot
What You'll Bring
- Currently pursuing a degree in Computer Engineering, Electrical Engineering, or a related field
- Strong C/C++ programming skills
- Experience working with and writing softwarefor embedded Linux systems; experience with software/kernel preferred
- Experience in Python/Perl/Bash Scripting is a plus
- Experience working and debugging complex, distributed software systems
- Comfortable analyzing data to improve design and performance of a system
- Understanding of hardware and software development processes
- Experience with Ethernet or CAN communication protocols is preferred
Compensation and Benefits
As a full-time Tesla Intern, you will be eligible for:
- 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 an option with a $0 payroll contribution
- Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k), Employee Stock Purchase Plans, and other financial benefits
- Company Paid Basic Life, AD&D, and short-term disability insurance
- Employee Assistance Program
- Sick time after 90 days of employment 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
- Commuter benefits
- Employee discounts and perks program
$20.00 - $55.00/hour + 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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.