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Neural Engineering Jobs in Michigan (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Strong programming skills in Python and SQL * Knowledge of advanced statistical techniques and ... artificial neural networks, ...) and their real-world advantages/drawbacks * Combination of ...

Ford Motor Company

Systems Engineer

Dearborn, MI · On-site

... Engineering , owning the entire birth-to-deployment journey of intelligent diagnostic workflows. You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ...

Ford Motor Company

Systems Engineer

Dearborn, MI · On-site

... Engineering , owning the entire birth-to-deployment journey of intelligent diagnostic workflows. You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

Research, train, and evaluate advanced neural architectures. This includes object detection ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

Research, train, and evaluate advanced neural architectures. This includes object detection ... S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

This is a high-impact role with visibility across engineering and product leadership ... White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural ...

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Neural Engineering information

See Michigan salary details

$9

$16

$25

How much do neural engineering jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for neural engineering in Michigan is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.22 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.

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 Michigan? The most popular types of Neural Engineering jobs in Michigan are:
What are popular job titles related to Neural Engineering jobs in Michigan? For Neural Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Michigan look for? The top searched job categories for Neural Engineering jobs in Michigan are:
What cities in Michigan are hiring for Neural Engineering jobs? Cities in Michigan with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Michigan as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $35,016 per year, or $16.8 per hour.
Senior Digital & Mixed-Signal Verification Engineer

Senior Digital & Mixed-Signal Verification Engineer

Mythic

Ann Arbor, MI • Hybrid

$125K - $250K/yr

Full-time

Posted 9 days ago

Job description

About Us:
Mythic's platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using non-volatile memory arrays which has been under development since 2012.  This step change in performance enables a range of new applications in many markets, including safety and security, autonomous vehicles, VR/AR, robotics, and media.  Mythic's AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems
 
About the role:
We are looking for an experienced digital and mixed-signal verification engineer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from RNM creation to verifying top-level algorithms, all while ensuring interfaces, specifications, and features are clear between multiple teams. This role is largely responsible for ensuring Mythic's analog compute core can be accurately and thoroughly verified by the digital and mixed-signal verification flow, and is expected to contribute to methodology.
Required experience includes:
  • Significant experience with verification of RNMs in mixed-signal / SoC verification
  • Extensive digital verification background 
  • UVM expertise
  • Verification (and ownership a plus) of RTL for mixed-signal controllers and FSMs (for Data Converters, PLLs, Power Converters, etc.)
  • Experience tracking and communicating mixed-signal interface requirements/specifications
  • Ability to work cross-functional teams with humility
  • Excellent communication skills, especially resolving ambiguity
Bonus attributes:
  • Project leadership experience
  • Experience in Virtuoso 
  • Cadence tool setup and infrastructure knowledge (reasonable ability to debug)
  • Strength in linux (reasonable ability to debug)
$125,000 - $250,000 a year
Salary will be dependent upon candidate experience and location
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