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Internship Signal Processing Jobs (NOW HIRING)

MIKEL INC

Acoustic Signal Processing

Middletown, RI · On-site

Academic or internship experience in digital signal processing, acoustics, or a related technical area. * Proficiency in MATLAB. * Strong analytical, communication, and problem-solving skills.

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How much do internship signal processing jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship signal processing 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 an internship in signal processing?

An Internship in Signal Processing is a temporary position, usually for students or recent graduates, where individuals gain hands-on experience working with the analysis, interpretation, and manipulation of signals such as audio, images, or sensor data. Interns typically support engineers and researchers in designing algorithms, running experiments, and developing software or hardware solutions. These internships help participants build practical skills and industry knowledge, often serving as a stepping stone to full-time roles in signal processing, communications, or related fields.

What types of projects do interns typically work on in a signal processing internship?

Signal Processing interns often work on projects involving the analysis, filtering, and interpretation of signals such as audio, images, or sensor data. These projects may include developing algorithms for noise reduction, feature extraction, or data compression under the guidance of experienced engineers. Interns typically collaborate with multidisciplinary teams, contributing to both research and practical implementation tasks, which helps them gain real-world experience and technical skills relevant to the industry.

What are the key skills and qualifications needed to thrive in a signal processing internship, and why are they important?

To thrive as an intern in signal processing, you need a solid background in mathematics, digital signal processing concepts, and programming, typically gained through coursework in electrical engineering or a related field. Familiarity with MATLAB, Python, and tools such as Simulink or LabVIEW is often required, along with any relevant coursework or certifications. Strong problem-solving abilities, attention to detail, and teamwork are important soft skills that set candidates apart. These competencies ensure you can effectively analyze, interpret, and develop signal processing solutions in real-world engineering environments.

What cities are hiring for Internship Signal Processing jobs?

Cities with the most Internship Signal Processing job openings:

What are the most commonly searched types of Signal Processing jobs?

The most popular types of Signal Processing jobs are:

What states have the most Internship Signal Processing jobs?

States with the most job openings for Internship Signal Processing jobs include:

Internship Signal Processing jobs near you
Infographic showing various Internship Signal Processing job openings in the United States as of July 2026, with employment types broken down into 3% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Signal Processing Engineer

Austin, TX • On-site

Neuralink
Biotechnology Research and Development • 201 - 500 employees
Learn more about Neuralinkexternal

$121K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 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.
Job Summary
We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.
Key Responsibilities
  • Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
  • Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
  • Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
  • Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
  • Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
  • Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.
Required Qualifications
  • Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
  • Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
  • Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
  • Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
  • Proficiency in Python and C for algorithm prototyping and simulation.
Preferred Qualifications
  • Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
  • Experience with dedicated DSP cores or accelerators.
  • Track record of optimizing for power/area/latency in resource-constrained environments.

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:
$121,000 - $230,500
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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