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Internship Machine Learning Hardware Jobs in Texas

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes ...

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Internship Machine Learning Hardware information

What is the difference between Internship Machine Learning Hardware vs Internship Data Scientist?

AspectInternship Machine Learning HardwareInternship Data Scientist
Required CredentialsBasic knowledge of hardware, electronics, and programmingStatistics, programming, and data analysis skills
Work EnvironmentHardware labs, electronics workshops, manufacturing settingsOffice, data analysis environments, cloud platforms
Employer & Industry UsageTech companies, hardware manufacturers, research labsTech firms, finance, healthcare, consulting
Common Search & Comparison IntentUnderstanding hardware-focused roles in ML projectsData analysis and modeling roles in ML

Internship Machine Learning Hardware focuses on developing and optimizing hardware components for ML systems, while Internship Data Scientist emphasizes analyzing data and building models. Both roles are essential in AI development but differ in skills, environment, and industry application.

What is an internship in machine learning hardware?

An Internship in Machine Learning Hardware is a temporary position for students or recent graduates to gain hands-on experience working with the physical components and systems that enable machine learning applications. Interns typically assist in designing, testing, and optimizing hardware such as GPUs, TPUs, or custom accelerators that run machine learning algorithms efficiently. This role often involves collaboration with software engineers and researchers to improve the performance and energy efficiency of machine learning models. The internship provides valuable exposure to both hardware engineering and the rapidly evolving field of artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship in machine learning hardware, and why are they important?

To thrive as an Internship Machine Learning Hardware, you need a solid foundation in computer engineering, electrical engineering, or computer science, with coursework or experience in machine learning and hardware design. Familiarity with hardware description languages (like Verilog or VHDL), Python, C++, and tools such as TensorFlow, PyTorch, or FPGA development environments is typically required. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns excel in multidisciplinary environments. These competencies are crucial for contributing to hardware-accelerated machine learning solutions and collaborating efficiently with engineering teams.

What kinds of projects and responsibilities can I expect during an internship in machine learning hardware?

As an intern in Machine Learning Hardware, you can expect to work on tasks such as benchmarking hardware performance for AI workloads, supporting the development and testing of new accelerator architectures, and optimizing hardware-software integration for machine learning models. You'll often collaborate with both hardware engineers and machine learning researchers, gaining exposure to the entire workflow from design to deployment. These internships typically provide hands-on experience with tools like FPGA, ASIC simulation environments, or specialized ML hardware platforms, and offer opportunities to contribute to real-world product development and research.

What cities in Texas are hiring for Internship Machine Learning Hardware jobs?

Cities in Texas with the most Internship Machine Learning Hardware job openings:

Infographic showing various Internship Machine Learning Hardware job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Hardware Systems Engineering

Apple

Austin, TX

$122K - $161K/yr

Full-time

Re-posted 26 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple donʼt just create products - they create the kind of wonder thatʼs revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Description
SOFTWARE AND SERVICES
At Apple, our software engineers are the brains behind some of the industryʼs biggest breakthroughs. macOS, Siri, Apple Maps, iOS and iCloud - not to mention the system-level software for iPhone and Apple TV - all started here. These teams are on the front line of our constant charge toward innovation.
MACHINE LEARNING AND AI
Within Appleʼs Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Appleʼs fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including large language models, diffusion models and reinforcement learning, as well as
other related areas such as accessibility, privacy, and fairness.
HARDWARE
Hardware Engineering and Product RF Design Engineers support electrical, system design, wireless and antenna design for integration of the Apple Vision Pro, iPhone, iPad, Watch and Mac computers, including assisting in engineering processes that support the design, integration, implementation, testing, and qualification of various electrical sub-systems including RF wireless technologies such as cellular, GPS, Wifi, and NFC into products.
HARDWARE TECHNOLOGY
Our Hardware Technology team is responsible for Appleʼs breakthrough custom silicon and hardware technologies including battery, applications processors, storage controllers, sensors silicon, display silicon and other chipsets across Appleʼs entire product line.
PRODUCT DESIGN
Apple products work beautifully because our designers maintain an intense focus on simplicity and usability. They judge the success of their work not by everything they put into it, but by everything the user gets out of it. They work closely with many different multi-functional teams, including Industrial Design, Packaging, Safety, Engineering and perform prototyping and validation activities for all hardware product lines.
OPERATIONS & MANUFACTURING
Our Operations team ensures that Appleʼs ground breaking designs become industry-leading products. This high profile, highly respected organization is positioned at the junction of Appleʼs product teams, the industries that supply core component technologies, and our manufacturing partners who help ensure that products such as iPad, iPhone, Mac, and Vision Pro can be restocked just as fast as they fly off the shelves.
Preferred Qualifications
We are looking for enthusiastic engineers who thrive in a fast-paced environment and have the passion and energy to leave their mark.
Pro-active: striving to go above and beyond what is required for the role. Ability to prioritize well and tackle challenges enthusiastically.
Innovative: continuously seeking to enhance and redefine the approach needed to grow business while delivering perfectly on all priority projects.
Strong attention to detail.
Results-oriented, persistent, and meticulous.
Adept at handling a varying workload and high volume of information.
Sharp written and verbal communication and organizational skills.
Resourceful, highly organized with the ability to meet deadlines, and completion of tasks and projects assigned.
Prior internship(s), group or personal project exposure, TA and/or work experience.
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
Minimum Qualifications
Currently pursuing an undergraduate or graduate degree, graduating May 2026 or later.
Pay & Benefits
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976