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How much do internship ai hardware jobs pay per hour?

As of Sep 4, 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 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.

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.

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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 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $36,265 per year, or $17.4 per hour.

Business Development Associate (Contract)

SK hynix America

San Jose, CA • On-site

$52K - $71K/yr

Full-time

Re-posted 9 days ago

Job description

About This Role:

This role will support SK hynix's new memory-based business initiative established to identify and create novel business opportunities in the rapidly evolving AI infrastructure market. SK hynix seeks to leverage its industry-leading memory products and capabilities to address critical challenges and unlock new value within AI hardware systems.

We are seeking a strategic, highly motivated, and detail-oriented candidate for our Business Development Associate position in Frontline team on a contract basis. As a vital supporting member of the team, this individual will play a key role in analyzing market shifts, tracking memory technology trends, and discovering new growth engines. This role requires a solid foundational understanding of memory products, the semiconductor market, and AI infrastructure dynamics, combined with strong analytical skills to support time-sensitive strategic decisions.

Contract Duration: 18-Months

Key Responsibilities:

  • Market Tracking: Research and monitor global AI infrastructure and semiconductor market trends, focusing on memory product demands.
  • Opportunity Identification: Assist in identifying and evaluating new business opportunities driven by the evolution of AI hardware and memory architectures.
  • Competitive Analysis: Conduct deep-dives into competitors, technology landscapes, and emerging startups within the AI memory ecosystem.
  • Executive Reporting Support: Assist in developing high-quality reports, data visualizations, and presentations to update C-level executives on new technology trends and business opportunities.
  • Data Management: Gather, organize, and maintain databases related to industry intelligence, customer requirements, and market forecasts.
  • Team Collaboration: Coordinate closely with internal cross-functional teams to support ongoing business development projects and prepare meeting materials for leadership alignment.

Minimum Qualifications:

  • Bachelor's degree (BS/BA), preferably in STEM, Business, Economics, or a related field.
  • Clear understanding of memory products (e.g., DRAM, NAND, HBM) and general semiconductor market dynamics.
  • Foundational knowledge of AI infrastructure, including how memory interacts with AI accelerators and servers.
  • Excellent written and verbal communication skills in English to synthesize data into actionable intelligence.
  • Proactive attitude with a strong willingness to learn in a fast-paced, matrixed environment.
  • Solid analytical and problem-solving skills

Preferred Qualifications:

  • Prior internship or entry-level working experience in the semiconductor, IT hardware, or tech consulting industry.
  • Fluency in Korean to facilitate smooth communication with global headquarters.
  • Familiarity with the broader AI ecosystem, including emerging technology trends and hardware-software co-optimization.
Requirement:     

  • Authorized to work in the US    

SK Hynix America logo

About SK Hynix America

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

201 - 500 Employees

Headquarters location

San Jose, CA, US

Year founded

1983

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