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Neural Engineering Jobs in Illinois (NOW HIRING)

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127K - $167K/yr

We're looking for researchers and experienced engineers from any background. Trading experience is ... Track and evaluate emerging research in neural architecture search, machine learning systems and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Track and evaluate emerging research in neural architecture search, machine learning systems and ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

Track and evaluate emerging research in neural architecture search, machine learning systems and ... engineers, traders, and business operations professionals are united by our uniquely collaborative ...

Accord Technologies Inc.

IT Software Engineer

Mossville, IL · On-site

Title: IT Software Engineer Location; Mossville, IL Duration: 12 months Position type: W2 contract Required Skills  * Extensive experience with  Matlab/Simulink, Stateflow ...

Pwc

AI Engineer

Rosemont, IL · On-site

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Pwc

AI Engineer

Chicago, IL · On-site

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Pwc

AI Engineer

Chicago, IL · On-site

$55K - $187K/yr

... learning and neural network methodologies to optimize AI model performance - Managing data ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for neural engineering in Illinois is $18.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.29 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

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

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in Illinois? The most popular types of Neural Engineering jobs in Illinois are:
What are popular job titles related to Neural Engineering jobs in Illinois? For Neural Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Illinois look for? The top searched job categories for Neural Engineering jobs in Illinois are:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Illinois as of August 2026, with employment types broken down into 5% Internship, 80% Full Time, and 15% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $38,930 per year, or $18.7 per hour.

Hardware Machine Learning Engineer

IMC

Chicago, IL

$127K - $167K/yr

Other

Re-posted 23 days ago

Job description

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

  • Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
  • Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
  • Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
  • 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

Your Skills and Experience

  • 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, C++, 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

Nice to Have

  • Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
  • Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
  • Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
  • Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

Apply