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Internship Ai Hardware Jobs (NOW HIRING)

Microsoft

Research Intern - AI Hardware

Redmond, WA · On-site

$6K - $13K/mo

Overview Research Internships at Microsoft provide a dynamic environment for research careers with ... This role is ideal for candidates who are passionate about AI, Hardware (HW) Design, and Computer ...

Intel

Senior AI SoC Design Engineer

Santa Clara, CA · On-site

$164K - $311K/yr

Join us to shape the future of AI hardware. This role is at the heart of Intel's product ... and/or internship experiences. Minimum Qualifications 7+ years of experience with a Bachelor ...

Intel

Senior AI SoC Design Engineer

Folsom, CA · On-site

$164K - $311K/yr

Join us to shape the future of AI hardware. This role is at the heart of Intel's product ... and/or internship experiences. Minimum Qualifications 7+ years of experience with a Bachelor ...

Intel

Senior AI SoC Design Engineer

Santa Clara, CA · On-site

$164K - $311K/yr

Join us to shape the future of AI hardware. This role is at the heart of Intel's product ... and/or internship experiences. Minimum Qualifications 7+ years of experience with a Bachelor ...

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Internship Ai Hardware information

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How much do internship ai hardware jobs pay per hour?

As of Jun 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 are Internship AI Hardware positions?

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 June 2026, with employment types broken down into 54% Full Time, 41% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Software Engineering Internship - AI/Agentic Systems

Axiomatic_AI

Boston, MA

Other

Posted 8 days ago

Job description

Software Engineering Internship – AI/Agentic Systems

Boston, US / Castelldefels (Barcelona), Spain

Position Overview

We are looking for an AI/Agentic Systems Intern to support the development of intelligent workflows and evaluation infrastructure for Lemma, our scientific and engineering co-explorer.

In this role, you will work on agent tool integrations, workflow orchestration, and benchmarking systems that help us build more reliable and capable AI agents.

This internship is ideal for a candidate who wants hands-on experience at the intersection of LLM applications, evaluation systems, and product-oriented AI engineering. You will contribute directly to our goals around AI tooling adoption and Lemma integrations, while working closely with researchers and engineers on real-world systems.

Your Mission
  • Work on agent tool integrations and workflow orchestration for Lemma
  • Help build benchmarking, testing, and evaluation infrastructure for AI agents
  • Support experiments around tool use, agent performance, and workflow reliability
  • Contribute to engineering foundations that make agentic systems more robust, measurable, and deployable
  • Collaborate with researchers and engineers to translate early ideas into usable internal capabilities
Key Requirements
  • Currently pursuing a Master's degree preferred in Artificial Intelligence, Machine Learning, NLP, Computer Science, or a related field
  • Strong proficiency in Python
  • Familiarity with LLMs and tool-use patterns
  • Strong analytical and problem-solving skills
  • Strong communication and collaboration skills
  • Ability to work independently while contributing effectively in a team environment
  • Comfort working in a dynamic, fast-paced setting

Work model & location expectations

Work model: On-site. Candidates are expected to be based at our Barcelona, Boston or Toronto office.

Work authorization: Candidates must have (or be able to obtain) work authorization in one of our office locations.

Relocation support: Axiomatic will support relocation by covering temporary housing and travel to/from the office location during the transition period.

Hiring manager & interview process

The interview process consists of four stages:

  • Culture interview
  • Technical + Hiring Manager interview (1 hour)
  • Team interview
  • Offer stage

Internship details

You will work directly with and be mentored by a global team of multidisciplinary experts pushing the boundaries of AI-assisted physics formalization.

Type: Paid internship

Duration: 3–6 months (typically starting between June and September, depending on candidate availability)

Future opportunities: Successful interns may be considered for full-time roles following the internship.

Why Join Us?

At Axiomatic AI, you will be working on technology that drives innovation in AI for scientific and engineering applications in line with our 30×30 mission.

This is your opportunity to contribute to the development of new AI methodologies that improve scientific modeling, reasoning, and design. You will work on research questions with both theoretical depth and practical relevance, while collaborating with a global team of engineers, scientists, and AI specialists.

We believe in pushing the boundaries of what is possible and continuously seek to redefine the intersection of AI, uncertainty-aware modeling, and scientific computation. If you're excited by technically demanding research and want to help shape the future of AI for engineering and hardware, we want to hear from you.

Worried about not meeting every qualification? Studies show that women and people of color are less likely to apply for jobs unless they meet every listed requirement. At Axiomatic AI, we are dedicated to creating a diverse, inclusive, and authentic workplace. If this role excites you but your background doesn't perfectly match every qualification, we still encourage you to apply. You could be the perfect fit for this position or another opportunity with us.

Apply