Internship, Software Integration Engineer, AI Platforms (Winter/Spring 2027)

InternHunt

Palo Alto, Northern (CA, KY)

Hybrid

USD 18,000 - 24,000

Full time

5 days ago
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Benefits offered by this job

Medical plans
Dental and vision
401(k)
Paid holidays
Volunteer benefits

Job summary

Tesla’s Autonomy team seeks an Integration Engineer Intern to work on AI platforms and robotics software across vehicle and humanoid platforms. You will contribute to the Autopilot stack, write robust C/C++ and Python code, and collaborate with hardware, AI, and controls teams to push autonomous capabilities forward.

The role emphasizes software in real-time embedded environments, cross-platform integration, and hands-on work with simulation, validation, and fleet data analysis.

Qualifications

  • Pursuing a degree in CS, Physics, Computer Engineering with graduation May 2027–May 2028.
  • Experience in C/C++ (C++14/17/20), multithreading, and Python; CUDA/OpenCL a plus.
  • Strong embedded systems understanding and real-time software design principles.
  • Knowledge of computer vision / ML and their real-world applications is a plus.
  • Experience with CAN, Ethernet, TCP/IP in automotive contexts.
  • Proficient in Linux-based development; embedded Linux and cross-compilation a plus.

Responsibilities

  • Write, debug, and maintain robust C/C++ software for Autopilot and humanoid robot stacks.
  • Integrate Autopilot features with interfaces and vehicle systems.
  • Develop features through simulation, validation, and fleet data analysis.
  • Optimize features to minimize power consumption.
  • Bring up Autonomy features on new vehicle and compute platforms.

Skills

C/C++
Multithreading
Python
Linux
Embedded systems
CAN/Ethernet/TCPIP

Education

Pursuing CS/Physics/CE degree

Tools

CUDA
OpenCL

Job description

Internship, Software Integration Engineer, AI Platforms (Winter/Spring 2027)

2026-09-29

Role Description

What to Expect

This position is expected to start January 2027 and continue through the spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, full-time (40 hours/week) 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.

About the Team:

As an Integration Engineer on the Autonomy team, you’ll be working at the intersection of AI, robotics, and systems integration, bringing Tesla’s cutting edge technology to life across both vehicle and robotic platforms. This role blends software development, system level problem solving, and cross functional collaboration to ensure seamless performance across our full autonomy stack. You’ll work closely with teams spanning hardware, AI, controls, and safety to develop and implement features that push the boundaries of what’s possible in autonomous systems.

What You’ll Do

  • Write, debug, and maintain robust C/C++ software for the Autopilot and humanoid robot software stack
  • Integrate Autopilot features and controls with user interfaces and other vehicle systems
  • Develop and iterate on new features through simulation, validation, and fleet data analysis
  • Optimize feature effectiveness while minimizing power consumption
  • Bring up Autonomy features on new vehicle and compute platforms

What You’ll Bring

  • Currently pursuing a degree in Computer Science, Physics, Computer Engineering or related fields with a graduation date between May 2027 - May 2028
  • Industry experience developing in C/C++, including modern standards (C++14/17/20), multithreading, and Python; familiarity with CUDA or OpenCL is a strong plus
  • Solid understanding of embedded systems architecture and real time software design principles
  • Working knowledge of computer vision, machine learning, and their practical applications in real world systems is a strong plus
  • Experience with automotive communication protocols such as CAN, Ethernet, and TCP/IP
  • Proficient in Linux based software development, with additional experience in embedded Linux environments and cross compilation toolchains considered a plus

As a full-time Tesla Intern, you will be eligible for:

  • Medical plans > 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 (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), 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
  • Employee discounts and perks program
Expected Compensation

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 / Aff…

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.

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