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Neural Engineer Jobs in Michigan (NOW HIRING)

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

We are looking for a Senior ML Engineer to join our team and build the next generation of our ... Research, train, and evaluate advanced neural architectures. This includes object detection ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI · On-site

$102K - $140K/yr

We are looking for a Senior ML Engineer to join our team and build the next generation of our ... Research, train, and evaluate advanced neural architectures. This includes object detection ...

May Mobility

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

We are looking for a Senior ML Engineer to join our team and build the next generation of our ... Research, train, and evaluate advanced neural architectures. This includes object detection ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ... Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or ...

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All JobsNeural Engineer JobsNeural Engineer Jobs in Michigan

Neural Engineer information

See Michigan salary details

$51.9K

$97.3K

$176.9K

How much do neural engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for neural engineer in Michigan is $97,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $115,500.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What types of projects and collaborations can a Neural Engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

What does a Neural Engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive in the Neural Engineer position, and why are they important?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are popular job titles related to Neural Engineer jobs in Michigan? For Neural Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Michigan look for? The top searched job categories for Neural Engineer jobs in Michigan are:
What cities in Michigan are hiring for Neural Engineer jobs? Cities in Michigan with the most Neural Engineer job openings:
Neural Engineer jobs near you
Senior Digital & Mixed-Signal Verification Engineer

Senior Digital & Mixed-Signal Verification Engineer

Mythic

Ann Arbor, MI • Hybrid

$125K - $250K/yr

Full-time

Posted 15 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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