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Neural Engineering Internship Jobs in California

Neuralink

Microfabrication Engineer (R&D)

Fremont, CA · On-site

$81K - $209K/yr

... relays neural signals to the body of the implant. The team operates at an in-house cleanroom ... Bachelor's degree in an engineering discipline or physical science * 3+ years of academic or ...

Neuralink

Microfabrication Engineer (R&D)

Fremont, CA · On-site

$81K - $209K/yr

... relays neural signals to the body of the implant. The team operates at an in-house cleanroom ... Bachelor's degree in an engineering discipline or physical science * 3+ years of academic or ...

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Neural Engineering Internship information

What is a neural engineering internship?

A Neural Engineering Internship provides hands-on experience in the field of neural interfaces, brain-computer interfaces (BCIs), and neuromodulation. Interns typically work on signal processing, machine learning, and hardware development for neurotechnology applications. They may assist in designing experiments, analyzing neural data, or developing medical devices. This role is ideal for students in biomedical engineering, neuroscience, or computer science who want to gain practical experience in neurotechnology.

What types of projects or tasks can I expect to work on during a neural engineering internship?

As a Neural Engineering Intern, you can expect to participate in a variety of hands-on projects such as analyzing neural data, helping design and test brain-computer interface systems, or developing algorithms for neural signal processing. You may also work closely with researchers and engineers to assist in laboratory experiments, device prototyping, or software development. Many internships include literature reviews, data visualization, and the opportunity to present findings to the team. These tasks are designed to give you a comprehensive introduction to current research and industry practices within neural engineering.

What are the key skills and qualifications needed to thrive in the neural engineering internship, and why are they important?

To thrive as a Neural Engineering Intern, you need a strong background in neuroscience, biomedical engineering, or electrical engineering, along with coursework or experience in signal processing and computational modeling. Familiarity with programming languages such as MATLAB or Python and use of lab equipment like EEG, MEG, or neural recording systems are highly beneficial. Critical thinking, effective communication, and a collaborative mindset help interns excel in research-driven, multidisciplinary teams. These skills enable interns to contribute meaningfully to projects, adapt to complex challenges, and succeed in this innovative field.

What are the most commonly searched types of Neural Engineering jobs in California?

The most popular types of Neural Engineering jobs in California are:

What are popular job titles related to Neural Engineering Internship jobs in California?

For Neural Engineering Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Neural Engineering Internship jobs in California look for?

The top searched job categories for Neural Engineering Internship jobs in California are:

What cities in California are hiring for Neural Engineering Internship jobs?

Cities in California with the most Neural Engineering Internship job openings:

Neural Engineering Internship jobs near you
Infographic showing various Neural Engineering Internship job openings in California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Digital IC Design Engineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Re-posted 21 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-computer interfaces. 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 and Responsibilities:
We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:
  • 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 implementation of hardware/software interface with firmware engineers
  • Application-specific architecture optimization including:
    • Complex system modeling for energy and performance benchmarks
    • Workload analysis and modeling
    • Leveraging architecture-level design trade-offs with process technology and workload type
    • Balancing energy efficiency and performance under manufacturing process variation
  • Complex system-on-chip verification
    • Behavioral level modeling and model equivalence check
    • FPGA emulation
    • Analog mixed-signal co-simulation
    • Design for testability
  • Collaboration on silicon bring-up tests with silicon validation engineers

Required Qualifications:
  • Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
  • 2+ years of experience in digital design
  • Proficient 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++, or UVM
  • Experience automating tool flows
  • Experience with embedded design
  • Experience in processor instruction set architecture design
  • Experience in compiler back-end design and customization
  • Experience designing PCBs or writing firmware.

Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Flat Rate:
$35/Hr 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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