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Internship Neural Engineer Jobs in Illinois (NOW HIRING)

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... Interns may gain experience with: * RoHS Compliance, REACH Compliance, PFAS Regulations, TSCA ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... Interns may gain experience with: * RoHS Compliance, REACH Compliance, PFAS Regulations, TSCA ...

Syntiant

Product Compliance Intern

Itasca, IL · On-site

$38K - $47K/yr

You will work closely with engineering, operations, suppliers, and customers to evaluate materials ... Interns may gain experience with: * RoHS Compliance, REACH Compliance, PFAS Regulations, TSCA ...

State Farm

Data Scientist

Bloomington, IL · On-site

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ... neural networks * Experience with at least one statistical programming language: SAS, R, and/or ...

All JobsNeural Engineer JobsInternship Neural Engineer JobsInternship Neural Engineer Jobs in Illinois

Internship Neural Engineer information

What is an internship neural engineer?

An Internship Neural Engineer is a student or recent graduate working temporarily with a team to support the development and testing of neural engineering technologies. These interns typically assist with research, data analysis, software programming, and hardware integration related to brain-computer interfaces, neural prosthetics, or other neuroscience-related projects. The internship provides hands-on experience in a multidisciplinary field that combines neuroscience, engineering, and computer science, allowing interns to gain practical skills and contribute to ongoing research or product development.

What types of projects and responsibilities can I expect as an internship neural engineer?

As an Internship Neural Engineer, you can expect to work on a variety of projects involving the development, testing, and analysis of neural interfaces or brain-computer interface systems. Typical responsibilities include assisting with data collection and analysis, building and validating machine learning models, and supporting the design or prototyping of neural hardware or software tools. You will likely collaborate closely with senior engineers, neuroscientists, and software developers, gaining exposure to both experimental and computational aspects of the work. This hands-on experience is invaluable for building technical skills and understanding the interdisciplinary nature of neural engineering.

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

To thrive as an Internship Neural Engineer, you generally need a solid background in neuroscience, biomedical engineering, or a related field, with foundational knowledge of neural systems and signal processing. Familiarity with programming languages such as Python or MATLAB, experience with data analysis tools, and exposure to neural recording hardware or simulation software are typically required. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out in this interdisciplinary field. These skills are essential for effectively contributing to research, analyzing neural data, and collaborating on innovative solutions in neural engineering projects.

What cities in Illinois are hiring for Internship Neural Engineer jobs?

Cities in Illinois with the most Internship Neural Engineer job openings:

Internship Neural Engineer jobs near you
Infographic showing various Internship Neural Engineer job openings in Illinois as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Hardware Machine Learning PhD Research Internship

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

$225K/yr

Full-time, Internship

PTO

This job post has expired today. Applications are no longer accepted.

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

  • Architect and develop an ML focused research project based on real-world use cases
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
  • Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
  • Present your project to the team, deepening our collective understanding of an area of ML acceleration
  • Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
  • Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

  • Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
  • Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
  • Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
  • Understanding of machine learning fundamentals - neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
  • Proficiency in Python or similar languages for tooling, testing, and simulation
  • Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $225,000

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