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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

As a Senior ML Engineer for Mapping, you will build the next generation of our mapping and ... neural architectures for automated mapping. Responsibilities : • Implement and optimize ...

Astemo Ltd

ADAS Engineer

Farmington Hills, MI · On-site

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.

Astemo

ADAS Engineer

Farmington Hills, MI · On-site

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.

Ford Motor Company

Systems Engineer

Dearborn, MI

You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ... Systems Engineering Rigor: Experience authoring 5+ pieces of critical production documentation ...

Ford Motor Company

Systems Engineer

Dearborn, MI · On-site

You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ... AI Workflow Engineering: You will help mature the intelligent diagnostic workflows, ensuring the AI ...

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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, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking a Senior ML Engineer specializing in Neural Rendering to implement cutting-edge research and develop high-quality sensor simulations for autonomous vehicles.
Responsibilities:
• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Own development projects in the team – From research, design, to implementation, testing and deployment
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.
Qualifications:
Required:
• Proficiency in Python and deep learning frameworks such as PyTorch.
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software.
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.
• Designs, maintains and owns team technical solutions and drives consensus.
• Mentors and guides engineers within the group.
Preferred:
• Experience with autonomous driving or robotics perception in production environments.
• Proficiency with CUDA programming for efficient rendering of large-scale scenes.
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals.
• Experience with MLOps and infrastructure tools (Ray).
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars.
Company:
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships Founded in 2005, the company is headquartered in Blacksburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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