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Internship Ai Hardware Jobs (NOW HIRING)

Staff Hardware Engineer, Optics

Santa Clara, CA · On-site

$145K - $191K/yr

  • Life

  • Retirement

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 ...

Principal Hardware Engineer, Optics

San Diego, CA · On-site

$131K - $173K/yr

  • Life

  • Retirement

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 ...

Principal Hardware Engineer, Optics

Santa Clara, CA · On-site

$145K - $191K/yr

  • Life

  • Retirement

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 ...

Working at the intersection of AI models, hardware acceleration, and software systems, you will ... internship, work experience, coding competitions, or widely used contributions in open source ...

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Internship Ai Hardware information

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$25

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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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.

Staff Hardware Engineer, Optics

Marvell

Santa Clara, CA • On-site

$145K - $191K/yr

Full-time

Life, Retirement

Re-posted 7 days ago


Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

Your Team, Your Impact

The Cloud Platform Optics team builds highly integrated component platforms with high-speed Silicon photonics, transmit and receive amplifiers, controller ASIC's with Marvell DSP's. These components are made operational with a highly functional embedded firmware. The team is responsible for design, verification, and validation of these integrated high speed optical components. The team performs system level testing under various operating conditions, and validates the performance of the hardware, firmware and control loops. An engineer in this team will be involved in a full product lifecycle and will carry new products from inception all the way to NPI.

What You Can Expect

We are seeking a motivated and talented Electrical Hardware Engineer to join our dynamic team. The ideal candidate will have a foundational understanding of electrical hardware design and development, with a keen interest in developing platform solutions for the AI market. This role offers an excellent opportunity for growth and development in a fast-paced environment.

Key Responsibilities:

  • Assist in the design, development, and testing of electrical hardware for optical modules and other AI platforms

  • Collaborate with senior engineers to define hardware requirements and specifications

  • Perform hands-on testing and debugging of hardware components using lab equipment such as oscilloscopes, multimeters, power supplies and signal analyzer

  • Participate in hardware validation and verification, including debugging and troubleshooting

  • Help develop and maintain detailed design documentation, including schematics, PCB layouts, and BOMs

  • Work closely with manufacturing teams to support the production and assembly of hardware components

What We're Looking For

Qualifications:

  • Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of related professional experience or Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 2-3 years of experience or equivalent professional experience in lieu of a formal degree

  • Strong understanding of electrical engineering principles and practices

  • Familiarity with CAD tools for schematic capture and PCB layout (e.g., Allegro, OrCAD)

  • Proficiency in using lab equipment, with a good understanding of electrical measurement and testing methodologies

  • Excellent problem-solving and analytical skills

  • Strong communication and teamwork abilities

  • Eagerness to learn and adapt to new challenges

Preferred Qualifications:

  • Familiarity in using firmware for board level communication and scripting

  • Basic knowledge of power management, high-speed signal and power integrity

  • Familiarity with industry standards and protocols related to DCI technology

  • Understanding of thermal management and EMI/EMC considerations in hardware design

Expected Base Pay Range (USD)

108,220 - 162,100, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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