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Internship Ai Hardware Jobs in Rutherford, NJ (NOW HIRING)

... AI infrastructure. You will own complex technical challenges, lead cross-functional initiatives with hardware and security teams, and partner with key silicon vendors to optimize our custom server ...

... AI infrastructure. You will own complex technical challenges, lead cross-functional initiatives with hardware and security teams, and partner with key silicon vendors to optimize our custom server ...

... AI infrastructure. You will own complex technical challenges, lead cross-functional initiatives with hardware and security teams, and partner with key silicon vendors to optimize our custom server ...

Showing results 21-40

Internship Ai Hardware information

See Rutherford, NJ salary details

$9

$17

$26

How much do internship ai hardware jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship ai hardware in Rutherford, NJ is $17.77, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.62 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.

What job categories do people searching Internship Ai Hardware jobs in Rutherford, NJ look for?

The top searched job categories for Internship Ai Hardware jobs in Rutherford, NJ are:

What cities near Rutherford, NJ are hiring for Internship Ai Hardware jobs?

Cities near Rutherford, NJ with the most Internship Ai Hardware job openings:

Infographic showing various Internship Ai Hardware job openings in Rutherford, NJ as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $36,970 per year, or $17.8 per hour.

Technical Architect, Responsible AI - CTO Office

Bloomberg L.P.

Manhattan, NY • On-site

$240 - $330/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies


Job description

Technical Architect, Responsible AI - CTO Office

Location: New York

Business Area: Engineering and CTO

Ref #: 10052017

Description & Requirements

Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our work spans generative AI, cloud and platform strategy, open-source stewardship, developer productivity, and applied research. As AI becomes increasingly central to Bloomberg’s products and operations, Responsible AI is a strategic priority across the company.

What's In It For You

We are seeking a Technical Architect, Responsible AI to advance Bloomberg’s responsible AI agenda. This is a highly cross-functional role at the intersection of research, technology, governance, and execution. You will work closely with senior technical leaders, researchers, engineers, product teams, legal and compliance partners, and business stakeholders to ensure Bloomberg’s AI systems are trustworthy, transparent, and aligned with evolving industry standards and regulatory expectations.

You will contribute both strategic thinking and hands-on execution including conducting original research, developing evaluation and governance frameworks, and influencing technical direction. You will drive complex initiatives from concept through implementation. Success in this role requires the ability to move fluidly between deep technical discussions and executive-level communication, while building alignment across diverse stakeholders.

We'll trust you to
  • Engage with the broader AI and research community in discourse on responsible AI through conferences, workshops, shared tasks, and other collaborative efforts.
  • Develop frameworks, methodologies, and best practices for evaluating and deploying AI systems responsibly at scale.
  • Lead strategic and tactical engagements across the company, rapidly synthesizing technical, regulatory, and business considerations into actionable recommendations.
  • Translate emerging AI research, policy, and regulatory developments into practical guidance for internal stakeholders.
  • Conduct original, high-impact research in responsible AI, contributing to both internal advancements and the broader AI community.
You'll need to have
  • Ph.D. in computer science, machine learning, NLP, or a related field, or equivalent industry experience
  • Strong track record of research and/or applied work in responsible AI.
  • Recognition as a research thought leader in one or more areas of responsible AI
  • Demonstrated ability to independently lead ambiguous, cross-functional initiatives from strategy through execution
  • Experience communicating technical research to both technical and non-technical audiences
  • Strong collaboration skills and comfort working across organizational boundaries
  • Experience working with executive stakeholders on strategic technology initiatives.
We'd love to see
  • Experience implementing responsible AI practices in large-scale production environments
  • Contributions in AI governance, policy, or regulation, such as developing technical frameworks for regulatory compliance or contributing to standards bodies
  • Contributions to open source responsible AI tools, evaluation frameworks, or datasets
  • A good understanding of financial markets, instruments, products and regulation
  • Exposure to Bloomberg Terminal and/or enterprise data products

Salary Range: 240,000 - 330,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

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Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981