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Sensor Algorithm Engineer Jobs in Southfield, MI

... algorithms). * Design, integrate, and test software for robotics, AI/ML, and sensor fusion ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

... algorithms). * Design, integrate, and test software for robotics, AI/ML, and sensor fusion ... Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence ...

... sensor, the central gateway, or the cloud). Using MATLAB and Simulink to design control logic ... This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect ...

... sensor, the central gateway, or the cloud). Using MATLAB and Simulink to design control logic ... This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect ...

... sensor, the central gateway, or the cloud). Using MATLAB and Simulink to design control logic ... This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect ...

... algorithms and health indicators are robustly validated end-to-end and deployed against their ... sensor/data collection through network transport to cloud processing and customer-facing output.

... algorithms and health indicators are robustly validated end-to-end and deployed against their ... sensor/data collection through network transport to cloud processing and customer-facing output.

Cloud Prognostics Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

... sensor, the central gateway, or the cloud). Using MATLAB and Simulink to design control logic ... This ensures the algorithm is tuned to be highly robust against false positives. Ability to connect ...

Showing results 21-40

Sensor Algorithm Engineer information

See Southfield, MI salary details

$54.6K

$102.4K

$186.2K

How much do sensor algorithm engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for sensor algorithm engineer in Southfield, MI is $102,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $121,600.00 per year, depending on experience, location, and employer.

What does a sensor algorithm engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What are the key skills and qualifications needed to thrive as a sensor algorithm engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

How does a sensor algorithm engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

What are popular job titles related to Sensor Algorithm Engineer jobs in Southfield, MI?

For Sensor Algorithm Engineer jobs in Southfield, MI, the most frequently searched job titles are:

Software Engineer, Calibration (Analysis/Tool)

Ann Arbor, MI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAM
An autonomous driving system typically comprises Sensing, Perception, Localization, Planning, and Control components. The World Understanding team owns responsibilities for Sensing, Perception, and Localization within Woven by Toyota for autonomous driving development. Specifically, the Sensor & Calibration sub-team, operating under the World Understanding team, focuses on Intrinsic and Extrinsic calibration of autonomous driving sensors, including Camera, LiDAR, Radar, and IMU. Our scope of work also encompasses the quality management of sensor data for post-processing activities and the operational management of calibration for our autonomous driving test vehicles.
WHO ARE WE LOOKING FOR?
The Sensor & Calibration sub-team is seeking a Software Engineer to support the development of sensor calibration tools for our next-generation autonomous driving system. The selected candidate will be responsible for the design and implementation of sensor calibration tools, validation of sensor calibration quality, and the subsequent deployment of the tools to millions of Toyota production vehicles. The development of sensor calibration tools encompasses the following: (1) Authoring comprehensive instruction documentation for the sensor calibration procedure, (2) Automating logs of essential sensor data onto removable storage devices, (3) Developing user-friendly interfaces for vehicle operators to execute sensor calibration algorithms on autonomous driving vehicles, (4) Automating uploads of sensor data to cloud storage, (5) Developing user friendly processes to run sensor calibration algorithms on the cloud, (6) Automating tracking of sensor calibration parameters for each autonomous driving vehicle, and (7) Maintaining the stability of the sensor calibration pipeline. Furthermore, candidates who exhibit a collaborative, "giver" mindset, consistently seeking opportunities to assist colleagues while maintaining a resolute focus on delivering production-ready solutions, are highly valued.
RESPONSIBILITIES
  • Support the design, implementation, and delivery of sensor calibration tools, proactively resolving deficiencies and ensuring that solutions meet objectives for reliability, quality, and business impact.
  • Write high-quality code to keep stable sensor calibration pipelines.
  • Collaborate with vehicle engineers and operators to ensure exceptional sensor calibration quality, which is critical for optimal vehicle deployment and the enhancement of autonomous driving performance.
  • Operate within a high-velocity environment and employ rigorous agile development practices.
  • Work within a hybrid workspace model, necessitating physical presence in our Ann Arbor (Michigan, US) office three days per week.

MINIMUM QUALIFICATIONS
  • Bachelor's (Master's preferred) in a related field, or equivalent industry experience.
  • Proficiency in C++ and Python programming languages.
  • Understanding of autonomous driving sensors, such as Camera, LiDAR, Radar, and IMU.
  • Experience in developing testable and modular code to maintain a robust production environment.
  • The ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines, supported by excellent interpersonal skills.

NICE TO HAVES
  • A minimum of one year of industrial experience in computer vision or a related field, preferably in topics such as:
    • Sensor Calibration for IMU, LiDAR, Camera, or Radar
    • Structure-from-motion
    • SLAM or Localization
    • Sensor fusion
    • 3D reconstruction or Multi-view geometry
  • Practical, hands-on experience in constructing a comprehensive sensor calibration stack for autonomous driving systems.
  • A proven track record of deploying Machine Learning (ML) models at scale within autonomous driving or related technological fields.

WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
• Excellent health, wellness, dental and vision coverage
• A rewarding 401k program
• Flexible vacation policy
• Family planning and care benefits
Our Commitment
• We are an equal opportunity employer and value diversity.
• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.