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Sensor Fusion Engineer Jobs in Michigan (NOW HIRING)

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation. * Multimodal / VLM ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Tracking, Sensor Fusion, Semantic Segmentation, BEV, Depth Estimation. * Multimodal / VLM ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... sensor fusion outputs). * Create AI-assisted test generation tools that leverage LLMs to ...

New

ZF

Sr Software Engineer

Farmington Hills, MI · On-site

$120K - $158K/yr

... Engineer plays a pivotal role in shaping ZF's next generation of edge-connected driver assistance ... sensor fusion, with practical implementation skills in modern C++. This position is part of ZF ...

May Mobility

Senior Autonomy Engineer

Ann Arbor, MI

$102K - $140K/yr

... or sensor fusion concepts. * Familiarity with ML/DL frameworks (e.g., PyTorch/TensorFlow) at a ... strong software engineering fundamentals. Physical Requirements * Standard office working ...

ZF Group

Sr Software Engineer

Farmington Hills, MI · On-site

$120K - $158K/yr

... Engineer plays a pivotal role in shaping ZF's next generation of edge-connected driver assistance ... sensor fusion, with practical implementation skills in modern C++. This position is part of ZF ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

We are seeking a Senior AI Validation Engineer to design and implement testing strategies ... sensor fusion outputs). * Create AI-assisted test generation tools that leverage LLMs to ...

New

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 ... Experience implementing and applying dynamic object tracking, with experience using sensor fusion ...

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All JobsSensor Fusion Engineer JobsSensor Fusion Engineer Jobs in Michigan

Sensor Fusion Engineer information

See Michigan salary details

$35.7K

$77.5K

$119.8K

How much do sensor fusion engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for sensor fusion engineer in Michigan is $77,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $95,400.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a sensor fusion engineer?

To thrive as a Sensor Fusion Engineer, you need strong expertise in signal processing, sensor technologies, and algorithms development, typically backed by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages like C++, Python, and MATLAB, as well as experience using simulation tools and frameworks such as ROS or Simulink, are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts effectively are key soft skills for this role. These abilities are critical for integrating and interpreting data from multiple sensors to deliver accurate and reliable system outputs in real-world applications.

What does a sensor fusion engineer do?

As a Sensor Fusion Engineer in the field of autonomous systems, your day will often involve developing algorithms to combine data from different sensors such as cameras, LiDAR, radar, or IMUs. You'll collaborate closely with software, hardware, and testing teams to ensure data integration is robust and optimized for real-time performance. Tasks may include debugging sensor data streams, running simulations, tuning parameters, and conducting tests on actual platforms. Regular team meetings and design reviews help keep projects on track and foster cross-functional problem solving. This dynamic environment requires both independent technical focus and strong teamwork to bring advanced sensor-driven systems to life.

What is a sensor fusion engineer?

A Sensor Fusion Engineer develops algorithms and systems that combine data from multiple sensors (such as cameras, LiDAR, radar, and IMUs) to create a more accurate and reliable representation of the environment. They work in fields like autonomous vehicles, robotics, and aerospace, using techniques such as Kalman filtering, statistical modeling, and machine learning. Their role involves sensor calibration, data processing, and software development to improve perception, localization, and decision-making systems.

What are popular job titles related to Sensor Fusion Engineer jobs in Michigan? For Sensor Fusion Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Sensor Fusion Engineer jobs in Michigan look for? The top searched job categories for Sensor Fusion Engineer jobs in Michigan are:
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Sensor Fusion Engineer jobs near you
Infographic showing various Sensor Fusion Engineer job openings in Michigan as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,481 per year, or $37.3 per hour.

Senior, ML Engineer - Offline Perception

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 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:
Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data.
What You'll Do:
  • Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
  • Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
  • Stay up to date with the latest developments in AI and ML for autonomous driving.
  • Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
  • Documentation of created applications.
  • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
  • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.
  • Measure and track auto labeling quality to meet internal customer requirements.
  • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
  • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
  • Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: 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.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR;
  • Required Qualifications(some combination of the following skills):
    • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
    • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
    • Scaled ML Operations (MLOps) and Tooling - ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality.
    • Distributed machine learning frameworks - PyTorch, Lightning, Ray.
    • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
    • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.

Bonus Points!
  • Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc).
  • Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau.
  • Cloud Development - Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).
  • Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.

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.
Hiring Range for Job Opening
US Pay Range
$199,200 - $298,800
Job ID: 102399

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