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Neural Engineering Jobs in Michigan (NOW HIRING)

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a ... Solid understanding of deep learning fundamentals and the numerical behavior of neural networks.

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring a ... Solid understanding of deep learning fundamentals and the numerical behavior of neural networks.

How do neural circuits extract meaningful information from noisy or ambiguous sensory signals? * To ... Detail-oriented, quantitative mindset and experience with scientific programming (Matlab, python ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

Collaborate closely with downstream consumers in perception, simulation, and systems engineering to ... workflows, neural rendering, or sensor fusion validation. • Experience building semantic ...

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

... 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 ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Jun 14, 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.

How much are neural engineers paid?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals with advanced skills in neurotechnology and programming can earn higher salaries, especially in research or industry settings.

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 engineers make $500,000?

Senior neural engineers, especially those with extensive experience, advanced degrees, and expertise in machine learning, neurotechnology, or biomedical applications, can earn salaries approaching or exceeding $500,000 annually. These roles often require specialized skills, leadership responsibilities, and work in high-demand industries such as healthcare, research, or tech companies. Compensation varies based on location, company size, and individual credentials.

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 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 is the salary of a neuroengineer?

The salary of a neuroengineer typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and the specific employer. Entry-level positions may start lower, while experienced professionals with advanced skills in neural interfaces and computational modeling can earn higher salaries.

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.
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:
Infographic showing various Neural Engineering job openings in Michigan as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $35,016 per year, or $16.8 per hour.
Senior Analog Mixed-Signal Design Engineer

Senior Analog Mixed-Signal Design Engineer

Mythic

Ann Arbor, MI • Hybrid

$125K - $250K/yr

Full-time

Posted 18 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 a highly experienced analog and mixed-signal designer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from low-level SPICE simulations to top-level algorithm development in python and SystemVerilog/RNM, all while ensuring interfaces, specifications, and features are clear between multiple teams.
Requirements for the position include:
  • Years of experience using the Cadence Virtuoso IC design environment for both analog and mixed-signal design and verification
  • Experience modeling circuits in order of preference:
    • Real Number Modeling (systemVerilog)
    • Python/Numpy
    • MATLAB
  • Experience tracking and communicating mixed-signal interface requirements/specifications
  • Ability to work cross-functional teams with humility
  • Excellent communication skills, especially resolving ambiguity
Additional attributes that set you apart:
  • ADC/DAC design experience
    • multiple architectures a plus
    • Some PLL, SERDES, and sensing candidate backgrounds are highly relevant 
  • Chip-level experience:
    • EM/IR
    • ESD
    • Power distribution modeling
  • Experience developing calibration and test algorithms
  • Mixed-signal interface experience
    • Have designed your own digital controller or at least worked directly with digital engineers and owned the co-verification
  • Automotive or other High-Reliability engineering experience
  • 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
apply for this job