1

Internship Chip Jobs (NOW HIRING)

CPU Design Verification Engineer

Austin, TX

$134K - $164K/yr

... Internships or other academic project experience in hardware verification and/or design Academic experience in digital logic design, chip architecture, and microarchitecture Should be a great ...

CPU Design Verification Engineer

Austin, TX · On-site

$134K - $164K/yr

... Internships or other academic project experience in hardware verification and/or design Academic experience in digital logic design, chip architecture, and microarchitecture Should be a great ...

/COMMIT is not an internship. It's not a fellowship. It's not a "program." It's a real job. It's a bet. We're betting that the best builders and doers in the world have a chip on their shoulder and do ...

/COMMIT is not an internship. It's not a fellowship. It's not a "program." It's a real job. It's a bet. We're betting that the best builders and doers in the world have a chip on their shoulder and do ...

CPU Design Verification Engineer

Austin, TX · On-site

$134K - $164K/yr

... Internships or other academic project experience in hardware verification and/or design Academic experience in digital logic design, chip architecture, and microarchitecture Should be a great ...

CPU Design Verification Engineer

Cambridge, MA · On-site

$148K - $181K/yr

... Internships or other academic project experience in hardware verification and/or design Academic experience in digital logic design, chip architecture, and microarchitecture Should be a great ...

next page

Showing results 1-20

Internship Chip information

See salary details

$9

$17

$23

How much do internship chip jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for internship chip in the United States is $17.31, 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 Chip vs Data Analyst?

AspectInternship ChipData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some certifications
Work EnvironmentTemporary, learning-focused, entry-levelFull-time, professional setting, analytical tasks
Employer & Industry UsageInternships offered by tech, finance, marketing firmsCompanies across industries, including tech, finance, healthcare
Search & Comparison IntentLooking for entry-level, learning opportunitiesSeeking professional, ongoing data analysis roles

The main difference between Internship Chip and Data Analyst is that the internship is a temporary, learning-focused position for students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and skills. Internships serve as a stepping stone into the industry, whereas Data Analysts perform ongoing data interpretation and reporting tasks in a professional setting.

More about Internship Chip jobs
What cities are hiring for Internship Chip jobs? Cities with the most Internship Chip job openings:
What are the most commonly searched types of Chip jobs? The most popular types of Chip jobs are:
What states have the most Internship Chip jobs? States with the most job openings for Internship Chip jobs include:
Infographic showing various Internship Chip job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Founding Hardware Engineer

Founding Hardware Engineer

Brahma Consulting Group

San Francisco, CA

Full-time

Re-posted 7 days ago


Job description

We’re looking for hardware engineers with hands-on experience in chip design workflows—ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out.


Responsibilities

  • Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base.
  • Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context.
  • Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages.
  • Track evolving trends in both semiconductor design and AI-assisted design automation.
  • Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases.


Qualifications

  • Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair).
  • Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred.
  • Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration.


SPECIALTY: DI (Design Integration, RTL, Architecture)

  • Proven track record of developing architectures and RTL for hardware blocks or IP.
  • Experience with SystemVerilog, Verilog & SoC design methodologies.


SPECIALTY: PD (Physical Design)

  • Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing.
  • Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL).


Preferred Experience

  • Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind).
  • Understanding of DFT, power optimization techniques, or low-power design flows.
  • Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.