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Internship Chip Design Jobs (NOW HIRING)

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX · On-site

$129K - $194K/yr

Preferred Qualifications Coursework or projects in web development or databases Interest in chip design, VLSI, or CAD tools Interest in AI/ML technologies Personal projects or internships involving ...

Apple

CAD Engineer - Signoff Infrastructure

Austin, TX · On-site

$129K - $194K/yr

Preferred Qualifications Coursework or projects in web development or databases Interest in chip design, VLSI, or CAD tools Interest in AI/ML technologies Personal projects or internships involving ...

Silimate

AI Research Intern

Mountain View, CA · On-site

... interns with significant experience with AI research (across models, algorithms, and training methodology) to help push the frontier of our AI-native tools and agent-driven workflows for chip design.

Apple Inc.

SoC Physical Design Engineer, PnR

Austin, TX · On-site

$134K - $138K/yr

... chip design flow, physical synthesis, floor-planning, place and route (PnR), power grid, timing ... Previous internship/co-op, project work or relevant coursework in computer architecture, VLSI ...

Apple Inc.

$100K - $103K/yr

... chip design flow, physical synthesis, floor-planning, place and route (PnR), power grid, timing ... Previous internship/co-op, project work or relevant coursework in computer architecture, VLSI ...

SpaceX

$40/hr

... chip design and development, you are a great candidate! Aerospace experience is not required to be ... Internships are available with a variety of silicon engineering teams across the company at Irvine ...

SpaceX

$40/hr

... chip design and development, you are a great candidate! Aerospace experience is not required to be ... Internships are available with a variety of silicon engineering teams across the company at Irvine ...

SpaceX

$40/hr

... chip design and development, you are a great candidate! Aerospace experience is not required to be ... Internships are available with a variety of silicon engineering teams across the company at Irvine ...

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Internship Chip Design information

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How much do internship chip design jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship chip design in the United States is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.63 per hour, depending on experience, location, and employer.

What is an internship in chip design?

An internship in chip design is a temporary, practical work experience where students or recent graduates assist in the design, development, and testing of semiconductor chips, such as microprocessors or integrated circuits. Interns typically work with engineering teams, learning about electronic design automation (EDA) tools, circuit simulation, and layout design. The role offers hands-on exposure to the chip development process, from concept to testing, and is valuable for those pursuing careers in electrical engineering or related fields.

What types of projects and responsibilities can I expect during an internship in chip design?

As an intern in chip design, you can expect to work on a variety of tasks that may include assisting with schematic capture, running simulation tools, performing layout verification, and supporting senior engineers with design documentation. You will likely participate in team meetings and collaborate with both hardware and verification engineers, gaining exposure to the full chip development lifecycle. The projects assigned are typically tailored to your skill level, offering hands-on experience with industry-standard EDA tools and methodologies. This environment provides an excellent opportunity to develop technical and teamwork skills while contributing to real-world semiconductor products.

What are the key skills and qualifications needed to thrive as an internship chip design, and why are they important?

To thrive as an Internship Chip Design, you need a solid background in electrical engineering fundamentals, digital/analog circuit design, and a relevant academic degree in progress. Familiarity with hardware description languages (such as VHDL or Verilog), EDA tools (like Cadence or Synopsys), and simulation software is typically required. Strong analytical thinking, attention to detail, and effective teamwork are crucial soft skills in this role. These competencies are vital to ensure accurate chip functionality, efficient design cycles, and successful collaboration on complex engineering projects.

What is the difference between Internship Chip Design vs Chip Design Engineer?

AspectInternship Chip DesignChip Design Engineer
Required CredentialsEnrolled in or recent graduate of Electrical Engineering or related fieldBachelor's or Master's in Electrical Engineering, Computer Engineering, or related
Work EnvironmentInternship programs, team projects, supervised tasksFull-time professional setting, independent project work
Employer & Industry UsageInternship positions in semiconductor and electronics companiesFull-time roles in chip design companies, tech firms, or semiconductor industry
Comparison Search IntentLearning about entry-level opportunities and trainingUnderstanding professional career roles and responsibilities

Internship Chip Design positions are entry-level opportunities aimed at students or recent graduates, focusing on training and skill development under supervision. Chip Design Engineers are full-time professionals responsible for designing, testing, and implementing integrated circuits independently. While internships provide foundational experience, engineers hold advanced responsibilities in the industry.

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Internship Chip Design jobs near you
Infographic showing various Internship Chip Design job openings in the United States as of September 2026, with employment types broken down into 75% Internship, and 25% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $40,304 per year, or $19.4 per hour.

Member of Technical Staff - Research Intern

Palo Alto, CA • On-site

Architect Labs
See more jobs at Architect Labsexternal

Other

Re-posted 18 days ago

Job description

About Architect

Architect is an AI research and product lab for chip design. We build AI models and systems that can explore, design, optimize, and verify new hardware. Our goal is to reimagine chip design using AI, cut down ASIC design time and cost, and enable a new era of ultra‑efficient, domain‑specific chips powering the future of computation.

Born out of Stanford, our team blends researchers and engineers from Anthropic, DeepMind, Meta, Apple, Intel, and other frontier labs. Backed by leading VCs and angels, including the Chief Scientist at Google, Stanford professors, and founders of chip companies, Architect operates in stealth, pushing the limits of AI4EDA and building the intelligence layer for the hardware revolution.

What You’ll Do

As a Research Intern at Architect, you will spend 3 months working alongside the founding team to push the boundaries of how AI models explore and optimize hardware designs. This is a high‑impact role where your experiments will directly influence our core modeling roadmap.

  • Responsible for co‑designing and implementing the Reinforcement Learning experiments (GRPO/PPO/DPO), training data mixes and reward signal explorations.
  • Contribute to research on post‑training techniques, running ablation studies to improve model reasoning and alignment capabilities.
  • Implement and test new algorithms for model fine‑tuning and evaluation, helping to translate research papers into working prototypes.
  • Analyze experimental results and debug model behavior to help establish best practices for our training recipes.
What We’d Like to See

Qualifications & Skills:

  • Education: Currently pursuing a PhD or Master’s degree in Computer Science, Machine Learning, Mathematics, or a related field. Exceptional undergraduates with strong research experience are also encouraged to apply.
  • RL Knowledge: Strong academic understanding or project experience with Reinforcement Learning (e.g., PPO, DPO, GRPO). You should be comfortable reading and implementing concepts from recent research papers.
  • Coding Proficiency: Strong proficiency in Python and deep learning frameworks (PyTorch). You should be able to write clean, efficient research code.
  • Research Mindset: A fast learner who is comfortable navigating ambiguity. You enjoy analyzing complex problems and iterating quickly on experiments.
  • LLM Familiarity: Experience with training or fine‑tuning Large Language Models (LLMs) or familiarity with the modern NLP stack (Transformers, HuggingFace, etc.).
Bonus:
  • Previous internship experience at frontier AI labs or research organizations.
  • Publications (or submissions) in top ML venues (NeurIPS, ICLR, ICML) or EDA venues (DAC, ICCAD).
  • Familiarity with hardware design concepts (Verilog, RTL, EDA tools), though not required.
What We Offer
  • Competitive internship stipend
  • Mentorship from a team of researchers and engineers from Anthropic, DeepMind, Meta, and Stanford
  • Opportunity to work on 0 to 1 problems in AI‑driven chip design
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