Internship, Software Algorithms Engineer, Electronic Devices (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. entry level candidates 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
You will get an opportunity to use fundamental EE / DSP / Match skills in finding and developing best in class software implementations for various applications such as self-driving cars, in-vehicle sensors, audio signal processing. The candidate is also expected to get their hands dirty in digging through source code, testing prototype firmware and propose solutions to complex problems.

Responsibilities
Your application for the Software Algorithms Engineering - Electronic Devices Internship will be considered across all opportunities for the teams listed below:

• The DSP (Digital Signal Processing)-SW team deliver a high-quality, robust, rigorously tested, and maintainable production grade embedded application SW for various sensing systems covering various sensors in a car assisting the autopilot system. A strong depth in linear algebra and digital signal processing will be a key requirement for this role, as well as experience in a high-level prototyping language such as Matlab or Python
• The Embedded DSP Firmware Implementation team is focused on implementing the algorithms in embedded firmware in C or C++. Ability to optimize algorithms for compute limited scenarios, exploiting machine level parallelism and familiarity/interest in embedded programming is a key requirement
• The Electronic Systems teams develop machine learning techniques using high level languages such as Python or Matlab and translate these high level algorithms into embedded code in C or C++ in order to research and create new signal processing.

Requirements

• Currently pursuing a Degree in Electrical Engineering, Software Engineering, Computer Science / Engineering, or a related field
• Strong Matlab or Python programming skills, familiarity with common python packages
• Familiarity with machine learning algorithms, familiarity with robotics algorithms such as Kalman Filter, Particle Filter, SLAM. Strong training of math (probability, statistics, linear algebra)
• Experience in embedded C/C++ programming, board bring-up, profiling, optimization, simulation, and various levels of testing (SW only, HW/SW integration, etc.)
• Very strong mathematical skills in probability, advanced linear algebra and calculus
• Good data analysis and data visualization skills would be a huge plus
• Experience with Ethernet or CAN communication protocols is preferred

Compensation and Benefits
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
Expected Compensation

$20.00 - $50.00 + 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.