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Neural Interface Engineer Jobs in Michigan (NOW HIRING)

You will be the architect of the data's journey-from the vehicle's silicon to the cloud's neural ... Interface Design: Define the API contracts between the vehicle's embedded gateway and the cloud ...

... interfaces. • Ability to design, develop, and deploy AI and machine learning solutions. • ... understanding of neural networks, computer vision, natural language processing, and/or ...

Neural Interface Engineer information

What does an interface engineer do?

A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.

What engineer makes $500,000 a year?

Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.

What jobs can you do with neural engineering?

Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

What jobs make $3,000 a month without a degree?

Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in Michigan? For Neural Interface Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Neural Interface Engineer jobs in Michigan look for? The top searched job categories for Neural Interface Engineer jobs in Michigan are:
What cities in Michigan are hiring for Neural Interface Engineer jobs? Cities in Michigan with the most Neural Interface Engineer job openings:
Senior, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc's data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc's data workflow for training and validation across the complete AV stack.
What You'll Do:
  • 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.

What You'll Need to Succeed:
  • 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.

Bonus Points!
  • 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

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
US Base Pay Range:
$177,300 - $234,000
Job ID: R-102432