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Neural Interface Engineer Jobs in Michigan (NOW HIRING)

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 ... Interface Design: Define the API contracts between the vehicle's embedded gateway and the cloud ...

TekShapers

SoC Performance Architect

Auburn Hills, MI

$158K/yr

... Neural Network benchmark criteria and competitive analysis Work with SoC Architect and software ... Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering or related ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

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

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Neural Interface Engineer information

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.

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Senior, ML Engineer - Neural Rendering

Senior, ML Engineer - Neural Rendering

Torc Robotics

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Posted 7 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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