Instrument Hardware Develop Intern

Summary

Apple is a place where extraordinary people gather to do their best work. Our community is

made up of every kind of individual: artists and designers, engineers and scientists, thinkers and

doers. Together we create things and experiences people once couldn’t have imagined — and

now can’t imagine living without. So if you’re excited by the idea of making a real impact, a

career with Apple might be your dream job. Just be ready to dream big.

In this role, you will collaborate with extraordinary engineering teams to integrate hardware,

software, and AI technologies into cutting-edge electrical test systems, delivering industry-

leading test solutions for Apple products.

Description

As a Hardware Systems Engineer Intern, you will develop customized electrical test systems for

Apple products. This role requires an EE with strong AI skills who, above all, enjoys building and

shipping real, working systems rather than just designing on paper.

You will be responsible for designing precision functional circuits (e.g., low-noise analog front-

ends, precision AD/DA, and high-speed digital systems), performing simulations, executing

system validation, and troubleshooting. You will also drive hardware/software integration, build

tools to automate data analysis, and creatively push for continuous design improvements.

Minimum Qualifications

• BS/MS EE or related field.
• Design experience in analog, power, high-speed digital, or MCU systems.
• Hands-on experience with electrical lab test equipment (e.g., oscilloscope, DMM).
• Ability to handle multiple tasks in a fast-paced environment.
• Strong problem-solving skills and curiosity to learn.
• Practical experience with AI/ML development.
• Fluent and effective communication skills in both English and Chinese.
• Availability to commit to a full-time internship for at least 3 months.

Preferred Qualifications

• Experience in embedded systems hardware/software design.
• Experience in FPGA development and RTL programming.
• Proficiency in at least one programming language (e.g., Python, C/C++, Lua, Swift, Obj-C).
• Excellent interpersonal skills and a collaborative mindset.