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Internship Chip Jobs (NOW HIRING)

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Optical Systems Engineer Internship

Milpitas, CA

$19.50 - $25.25/hr

... the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect ... This internship is ideal for students interested in learning how complex measurement systems are ...

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Optical Systems Engineer Internship

Milpitas, CA · On-site

$19.50 - $25.25/hr

... the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect ... This internship is ideal for students interested in learning how complex measurement systems are ...

Onto

Mechanical Systems Engineer Internship

Milpitas, CA · On-site

$21.75 - $29.50/hr

... the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect ... Job Summary & Responsibilities This internship offers a unique opportunity to contribute to a high ...

Onto

Mechanical Systems Engineer Internship

Milpitas, CA

$21.75 - $29.50/hr

... the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect ... Job Summary & Responsibilities This internship offers a unique opportunity to contribute to a high ...

Clover Health

Associate

New York, NY · On-site

/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 ...

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How much do internship chip jobs pay per hour?

As of Jun 1, 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.

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Internship Chip jobs near you
Digital IC Design Engineer

Digital IC Design Engineer

Neuralink

Austin, TX • On-site

$116K - $233.80K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.
Job Description & Responsibilities:
Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.
  • Micro-architecture design and RTL implementation of:
    • Low-power digital signal processors
    • Low-power general-purpose hardware accelerators
    • Low-power graphics processing units
    • Low-power radio MAC/PHY
    • Low-power serial link MAC/PHY
  • Design and optimization of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Energy/performance profiling and analysis
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing cost and performance under manufacturing process variation
  • Collaboration on silicon bring-up tests with verification engineers

Required Qualifications:
  • Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • 5+ years of experience in digital design
  • Expertise in SystemVerilog, C/C++, Python
  • Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
  • Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications:
  • Experience in architecture optimization with process technology customization
  • Experience in the verification of complex digital systems, using industry standard tools
  • Experience in the physical design of complex digital systems, using industry standard tools
  • Experience testing and debugging digital system-on-a-chips
  • Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
  • Experience automating tool flows
  • Experience with embedded design
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$116,000-$233,800 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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