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Internship Ai Hardware Jobs (NOW HIRING)

Etched

RTL Intern

San Jose, CA · On-site

... AI hardware experience; just the ability to learn quickly in a fast-paced, high-autonomy environment. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you ...

aijoblist

Hardware Tools Engineer

San Francisco, CA · On-site

$225 - $445/hr

The team is responsible for building the next generation of AI-native silicon while working closely ... Demonstrated ability to build and maintain software (projects, internships, research, open source ...

Etched

RTL Intern

San Jose, CA · On-site

... AI hardware experience; just the ability to learn quickly in a fast-paced, high-autonomy environment. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

$225K - $445K/yr

About the Team OpenAI's Hardware organization develops AI-native silicon and system-level solutions ... Demonstrated ability to build and maintain software (projects, internships, research, open source ...

OpenAI

Hardware Tools Engineer

San Francisco, CA · On-site

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose ... Required : • Demonstrated ability to build and maintain software (projects, internships, research ...

Marvell

Staff Hardware Engineer, Optics

San Diego, CA

$131K - $173K/yr

Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling ... every stage - from internship to retirement and through life's most important moments. Our ...

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Internship Ai Hardware information

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How much do internship ai hardware jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship ai hardware in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Hardware vs Internship Data Scientist?

AspectInternship Ai HardwareInternship Data Scientist
Required SkillsHardware design, AI hardware acceleration, programming (C++, Python)Data analysis, machine learning, statistical skills, Python/R
Work EnvironmentHardware labs, R&D teams, manufacturing settingsData analysis teams, research labs, software environments
Industry UsageAI hardware development, semiconductor companies, tech firmsTech companies, finance, healthcare, research institutions

Internship Ai Hardware focuses on developing and testing AI hardware components, requiring hardware and embedded systems skills. In contrast, Internship Data Scientist emphasizes analyzing data and building models. Both roles are common in tech industries but differ in technical focus and work environment.

What is an internship AI hardware?

Internship AI Hardware positions are temporary roles designed for students or recent graduates interested in working with the physical components and systems that support artificial intelligence technologies. Interns typically assist with designing, testing, and optimizing hardware such as processors, chips, and other devices that accelerate AI computations. These internships provide hands-on experience in areas like system architecture, circuit design, and hardware-software integration, often working alongside engineers and researchers. They are valuable opportunities to gain practical skills, industry exposure, and networking connections in the rapidly evolving field of AI hardware.

What kinds of projects do interns typically work on in an AI hardware internship?

As an AI hardware intern, you can expect to work on hands-on projects such as prototyping, benchmarking hardware accelerators, optimizing circuits for machine learning tasks, or supporting the design and verification of new AI chips. Interns often collaborate closely with experienced engineers and researchers, contributing to tasks like data collection, test automation, and performance analysis. These projects provide valuable exposure to real-world hardware development cycles and the unique challenges of deploying AI at scale.

What are the key skills and qualifications needed to thrive as an AI hardware intern, and why are they important?

To thrive as an AI Hardware Intern, you generally need a background in electrical engineering, computer engineering, or a related field, with strong knowledge of digital logic, computer architecture, and basic programming. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools, and lab equipment is typically required, and experience with platforms like FPGA or GPU accelerators is a plus. Strong analytical thinking, problem-solving abilities, and teamwork skills help you stand out in this role. These competencies are crucial for effectively contributing to hardware design and testing processes in fast-evolving AI hardware projects.
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Internship Ai Hardware jobs near you
Infographic showing various Internship Ai Hardware job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 40% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

RTL Intern

Etched

San Jose, CA • On-site

Other

Re-posted 9 days ago

Job description

About Etched

Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

As an RTL Intern at Etched, you will help design microarchitecture and implement logic in verilog. You will work with cutting-edge machine learning architectures, contribute to RTL block development, and participate in the full design cycle—from microarchitecture discussions to synthesis and timing feedback. You do not necessarily need prior ML/AI hardware experience; just the ability to learn quickly in a fast-paced, high-autonomy environment. We are looking for Fall '26, Spring '27, and Summer '27 interns.

You may be a good fit if you have

  • Progress towards a Bachelor’s, Master’s, or PhD degree in electrical engineering, computer engineering, or a related field.

  • Familiarity with high-speed digital logic

  • Exposure to ASIC or SoC design concepts

  • Familiarity with SystemVerilog, UVM, or Python

  • Familiarity with verification work and writing test benches

  • Familiarity with physical design flows and tooling

  • Are able to learn quickly about transformers and other aspects of modern artificial intelligence

Strong candidates may also have experience with

  • Familiarity with modern ML and LLM model architectures

  • Familiarity with numerical representations and functions

  • Familiarity with clocking and reset schemes

  • ​Ability to program with Python or another scripting language

We encourage you to apply even if you do not believe you meet every single qualification.

Program details

  • 12-week paid internship

  • Generous housing support for those relocating

  • Daily lunch and dinner in our office

  • Based at our office in San Jose, CA

  • Direct mentorship from industry leaders and world-class engineers

  • Opportunity to work on one of the most important problems of our time

For any questions, contact internships@etched.com

How we’re different

Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.

 

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.