1

Internship Ai Hardware Jobs (NOW HIRING)

The ideal candidate will have extensive experience with AI hardware platforms, system-level ... internship experiences. Minimum Qualifications: * Bachelors and 6+ years or Masters and 4+ years or ...

New

Berlin, Hamburg, München Vollzeit Praktikum/Werkstudium Bei 1KOMMA5° verfolgen wir eine Vision ... Dafür bauen wir mit Heartbeat AI das Energiesystem der Zukunft. Bist du dabei? Wir bringen ...

next page

Showing results 1-20

Internship Ai Hardware information

See salary details

$9

$17

$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.
More about Internship Ai Hardware jobs

What cities are hiring for Internship Ai Hardware jobs?

Cities with the most Internship Ai Hardware job openings:

What are the most commonly searched types of Ai Hardware jobs?

The most popular types of Ai Hardware jobs are:

What states have the most Internship Ai Hardware jobs?

States with the most job openings for Internship Ai Hardware jobs include:

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.

Senior AI Solution Architect

Intel

Hillsboro, OR

$170K - $315K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 157 rated electronics manufacturers


Job description

Job Details:Job Description: 

The world is transforming - and so is Intel. Intel is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people's digital lives. Come join us and do something wonderful.
We focus on designing, implementing, and optimizing AI accelerator systems and cloud infrastructure for large-scale machine learning workloads. The ideal candidate will have extensive experience with AI hardware platforms, system-level debugging, and cross-functional collaboration in enterprise environments.
Key Responsibilities:
AI/ML System Engineering

  • Design and optimize AI accelerator systems (Gaudi, GPU clusters) for production ML workloads.
  • Debug complex PCIe, memory subsystem, and interconnect issues in AI clusters.
  • Validate and integrate the cutting-edge GPUs and AI accelerator platforms.


System Integration and Validation

  • Lead platform bring-up and validation for next-generation AI hardware
  • Develop comprehensive test plans for AI systems.
  • Collaborate with OEM vendors on BMC firmware integration and system stability.
  • Perform full-stack debugging across hardware, firmware, and software layers.


Infrastructure and Tooling

  • Develop automated testing frameworks and monitoring solutions.
  • Create diagnostic tools and APIs for system health monitoring.


Leadership and Collaboration

  • Mentor junior engineers and data center technicians.
  • Lead cross-functional teams through complex technical challenges.
  • Coordinate with hardware, firmware, and software teams on platform readiness.
  • Drive technical decisions and architectural improvements.
Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications:

  • Bachelors and 6+ years or Masters and 4+ years or PhD and 2+ years in Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in system engineering, platform validation, or related roles.
  • 3+ years of experience of successfully bringing up and debugging high-performance AI clusters.
  • 3+ years of experience resolving complex system-level issues in production AI/ML environments.
  • 3+ years of experience AI cluster design, validation, and production deployment experience.

Preferred Qualifications:

  • Experience with Intel platforms (Xeon, Gaudi) or similar GPU or AI accelerators.
  • Familiarity with cloud deployment and containerization.
  • Programming: Expert-level Python.
  • AI/ML Frameworks: Experience with vLLM, PyTorch, TensorFlow, OpenMPI
  • System Tools: Linux/Unix administration, Docker, shell scripting.
  • Hardware: Deep understanding of PCIe, memory subsystems, AI accelerators.
  • Protocols: Redfish, IPMI, BMC management.
  • Computer architecture and microprocessor design.
  • AI/ML workload optimization and deployment.
  • System-level debugging and validation methodologies.
  • Enterprise platform security and manageability.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968