ZipRecruiter

Log In

1

Computer Hardware Engineer Intern Jobs in Jackson, NJ

Tt

Resilience Engineer Intern

New York, NY · On-site

$30 - $35/hr

Your Role As a Resilience Engineer Intern in our Sustainability &ResiliencePractice, you will ... Experience with CAD software (e.g. AutoCAD) is a plus. * Experience or familiarity with tools such ...

previous pagenext page

Showing results 21-40

All JobsComputer Hardware Engineer Intern JobsComputer Hardware Engineer Intern Jobs in Jackson, NJ

Computer Hardware Engineer Intern information

See Jackson, NJ salary details

$9

$19

$36

How much do computer hardware engineer intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer hardware engineer intern in Jackson, NJ is $19.41, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.68 per hour, depending on experience, location, and employer.

What does a computer hardware engineer intern do?

A Computer Hardware Engineer Intern assists in designing, testing, and analyzing computer hardware components such as circuit boards, processors, memory devices, and networks. Interns typically work under the supervision of experienced engineers, helping with prototyping, troubleshooting hardware issues, and performing research to support new hardware development. They may also use engineering software and tools to create schematics and document their work. This role provides valuable hands-on experience in the field of computer hardware engineering.

What types of projects can a computer hardware engineer intern expect to work on during their internship?

As a Computer Hardware Engineer Intern, you may be involved in a variety of projects such as assisting with the design and testing of circuit boards, supporting prototype development, and helping with troubleshooting and debugging hardware systems. Interns often collaborate closely with senior engineers, participate in team meetings, and contribute to documentation or data analysis tasks. This hands-on experience is valuable for building technical skills and understanding the workflow of hardware development teams.

What are the key skills and qualifications needed to thrive as a computer hardware engineer intern, and why are they important?

To thrive as a Computer Hardware Engineer Intern, you need a solid understanding of computer architecture, digital logic design, and hardware troubleshooting, typically supported by coursework in electrical or computer engineering. Familiarity with hardware description languages (such as VHDL or Verilog), circuit simulation tools, and PCB design software is often expected. Strong analytical thinking, attention to detail, and effective teamwork skills help interns contribute meaningfully to projects. These abilities ensure you can learn quickly, collaborate on complex hardware development, and support innovative solutions in a fast-paced engineering environment.

What is the difference between Computer Hardware Engineer Intern vs Computer Hardware Engineer?

AspectComputer Hardware Engineer InternComputer Hardware Engineer
CredentialsTypically pursuing a bachelor's degree in computer engineering or related fieldBachelor's degree in computer engineering or related; often requires experience or advanced degrees for senior roles
Work EnvironmentInternship setting, often in labs or office environments, supervised by experienced engineersFull-time professional setting, including labs, offices, and manufacturing facilities
ResponsibilitiesAssisting with design, testing, and troubleshooting hardware components under supervisionDesigning, developing, and testing hardware systems independently or leading projects

The main difference between a Computer Hardware Engineer Intern and a Computer Hardware Engineer is experience level and responsibilities. Interns are in training, assisting with tasks under supervision, while engineers are full-time professionals responsible for designing and developing hardware systems.

What cities near Jackson, NJ are hiring for Computer Hardware Engineer Intern jobs?

Cities near Jackson, NJ with the most Computer Hardware Engineer Intern job openings:

Computer Hardware Engineer Intern jobs near you

Thermodynamic Hardware Resident

New York, NY • On-site

Normal Computing
See more jobs at Normal Computingexternal

$150K/yr

Full-time

Posted 20 days ago

Job description

Normal Computing | Build with Us
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.
The Residency Program
The Thermodynamic Hardware Residency is Normal Computing's flagship program for exceptional researchers and engineers who want to work at the frontier of unconventional computing. Residents join a small, hand-picked cohort with a dedicated research mentor, direct access to the team building our cutting-edge thermodynamic hardware, and a clear arc from onboarding through publication.
Every residency is built around two milestones that mark you as part of something bigger than a single project: a research paper co-authored with our team, and a company-wide research colloquium where you present your findings to the full Normal Computing organization. You'll leave with a body of published, presented work, and a standing as one of the earliest residents to help define what this program becomes. Exceptional performers will be considered for full-time conversion at the end of the residency.
Your Normal Experience
  • You'll spend your residency embedded with the team building and characterizing our unconventional, thermodynamic computing hardware - silicon that exploits physical noise and analog dynamics rather than fighting them.
  • This is a hands-on research residency: you'll take ownership of a real technical problem at the boundary of physics, hardware, and machine learning, work alongside the researchers and engineers building our hardware, and be expected to contribute ideas, not just execute someone else's.
  • Our hardware is designed to deliver orders-of-magnitude more AI inference per dollar, per watt than conventional GPUs - not by porting existing GPU kernels onto new chips, but by rethinking how core operations work when the substrate itself is stochastic analog computation in memory rather than conventional digital logic. That rethinking, from device physics up through algorithms, is exactly the kind of problem residents take on.
  • You'll get direct exposure to the pace, ambiguity, and speed of decision-making that comes with working at a fast-moving, well-funded hardware startup - where the distance between an idea on a whiteboard and a test on real silicon is measured in weeks, not years.

What You'll Do
  • Work hands-on with thermodynamic hardware. Help design, simulate, characterize, or evaluate our hardware, where noise, analog dynamics, and in-memory computation are first-class design elements rather than sources of error to be engineered away.
  • Design numerical methods for a new substrate. Explore algorithms and numerical methods that exploit thermal noise and analog dynamics directly, rather than adapting techniques built for conventional digital hardware.
  • Drive a research question of your own. Partner with researchers and hardware engineers to scope, run, and iterate on an original technical investigation - from device- or circuit-level physics up to algorithms and workloads that map onto thermodynamic compute.
  • Build evaluation frameworks and benchmarks. Help build the tests and benchmarks that measure how algorithmic ideas actually perform on real hardware and in simulation, and feed what you learn about model workloads back into hardware design decisions.
  • Co-author a paper. Work with the team to write up your findings for submission to a relevant venue, with mentorship on framing, experiments, and technical writing along the way - one of the two milestones every resident builds toward.
  • Present at the residency colloquium. Share your work and thinking with the broader Normal Computing research community at the program's capstone event, and get real-time feedback from people building this technology every day.
  • Experience startup pace firsthand. Work directly with founders, senior researchers, and engineers in a lean, fast-moving environment where priorities shift quickly and your work has an outsized, visible impact.

What Would Make You a Great Fit
  • Currently pursuing or recently completed a graduate degree (MS or PhD, or equivalent research experience) in physics, electrical engineering, computer engineering, computer science, applied math, or a related field - with a focus on hardware, device physics, stochastic or analog computing, or machine learning systems.
  • Comfortable moving between levels of abstraction: from the physics of noise and analog devices, to circuit- and architecture-level tradeoffs, to the algorithms and workloads that will eventually run on this hardware.
  • Some exposure to large-model inference concepts - attention mechanisms, KV caching, long-context decoding - and an interest in how they change when the underlying hardware isn't a GPU. Production-level experience isn't expected at the resident level, but the intuition should feel familiar.
  • Strong Python skills, plus comfort with (or eagerness to learn) a lower-level systems language such as C++ or Rust; hands-on experience with simulation, experimentation, or hardware characterization (e.g., SPICE, PyTorch, FPGA or ASIC tooling) is a plus.
  • First-principles reasoning about novel computational substrates: a genuine curiosity about unconventional computing, where exploiting thermal noise rather than suppressing it sounds more interesting than intimidating.
  • Strong written and verbal communication skills; prior experience writing up research (papers, theses, technical reports) is a plus, as is any experience presenting technical work to a live audience.
  • A bias toward ownership and self-direction: you're energized, not overwhelmed, by the ambiguity and speed of a small, fast-moving startup.

Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Apply