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Sensor Algorithm Engineer Jobs in Michigan (NOW HIRING)

... 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 ...

Cloud Prognostics Engineer

Dearborn, MI · On-site

$51.50 - $69/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 ...

Showing results 21-40

Sensor Algorithm Engineer information

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 job categories do people searching Sensor Algorithm Engineer jobs in Michigan look for?

The top searched job categories for Sensor Algorithm Engineer jobs in Michigan are:

What cities in Michigan are hiring for Sensor Algorithm Engineer jobs?

Cities in Michigan with the most Sensor Algorithm Engineer job openings:

Robotics Engineer

Sterling Heights, MI • On-site

Full-time

Re-posted yesterday


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

ASRC Federal Advanced Research is currently seeking a Robotic (Autonomy) Engineer to support autonomy vehicle integrations in Sterling Heights, Michigan. Considering the state of the world today, military technical innovation is critical to defending our territories and those of our allies. The US Army is currently exploring advancements to equip ground combat forces with autonomous vehicle platforms. This effort presents a unique opportunity for civilians to participate in the research and development efforts that will shape future battlefield combat platforms. 

Job Responsibilities:

  • Develop and implement autonomous systems for ground, air, or maritime defense platforms (e.g., navigation, perception, decision-making algorithms).
  • Design, integrate, and test software for robotics, AI/ML, and sensor fusion applications in contested environments.
  • Design and optimize sensor fusion architecture utilizing LiDAR, radar, cameras, GPS, IMUs, and other onboard sensors.
  • Develop verification and validation plans for autonomous capabilities and support system certification activities.
  • Collaborate with systems, hardware, and software engineers to ensure seamless platform integration.
  • Advise on platform scalability, cloud integration strategies, and continuous deployment models.
  • Provides mentorship to engineers and reviews code for consistency, maintainability, and adherence to architecture.
  • Support modeling, simulation, and hardware-in-the-loop (HIL) testing to validate autonomous behaviors.
  • Apply computer vision, path planning, and control algorithms to enable mission execution with minimal human intervention.
  • Ensure compliance with DoD standards, cybersecurity requirements, and safety-critical system guidelines.
  • Conduct field testing, data collection, and performance analysis to refine autonomous capabilities.
  • Conduct autonomy testing in complex off-road, contested, and GPS-denied environments.
  • Develop technical documentation, briefings, and reports for government stakeholders
  • Participate in design reviews, risk assessments, and program milestones (e.g., SRR, PDR, CDR).
  • Stay current with emerging technologies in artificial intelligence, robotics, and autonomous systems to support innovation and mission advantage.

Required Qualifications

  • Ability to obtain and maintain a Government Secret Clearance.
  • Willingness to travel CONUS and OCONUS 25% annually.
  • Bachelor’s degree in Robotics, Computer Science, Electrical Engineering and 5-7 years experience.

            ASRC Federal and its Subsidiaries are Equal Opportunity / Affirmative Action employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.


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