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Sensor Algorithm Engineer Jobs in Michigan (NOW HIRING)

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102K - $140K/yr

... algorithms for event tagging, and manage data integration for autonomous vehicle scenarios ... sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety ...

Use Simulink to develop signal processing algorithms for requirements analysis and validation ... Perform/oversee HIL, on-road, and dynamometer data collection to calibrate and validate sensor ...

Use Simulink to develop signal processing algorithms for requirements analysis and validation ... Perform/oversee HIL, on-road, and dynamometer data collection to calibrate and validate sensor ...

Use Simulink to develop signal processing algorithms for requirements analysis and validation ... Perform/oversee HIL, on-road, and dynamometer data collection to calibrate and validate sensor ...

Understand business requirements and develop AI algorithms, models and programs to solve complex ... sensor data (images, sound), orchestrate automation and enable self-service capabilities * Perform ...

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Develop sensor processing algorithms. * Prototype sensor systems and run simulations. * Ensure accurate and reliable transformation of high dimensional, high frequency sensor data into useful ...

Signal Processing Engineer

Ann Arbor, MI · On-site

$100K - $150K/yr

Develop sensor processing algorithms. * Prototype sensor systems and run simulations. * Ensure accurate and reliable transformation of high dimensional, high frequency sensor data into useful ...

Develop sensor processing algorithms. * Prototype sensor systems and run simulations. * Ensure accurate and reliable transformation of high dimensional, high frequency sensor data into useful ...

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Sensor Algorithm Engineer information

What is the definition of sensor?

A sensor is a device used by a Sensor Algorithm Engineer to detect and measure physical properties such as temperature, pressure, or motion. It converts these measurements into signals that can be processed by algorithms to interpret environmental conditions or system states. Understanding sensor types and characteristics is essential for developing accurate and reliable sensor-based 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.

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 is the difference between censor and sensor?

In the context of a Sensor Algorithm Engineer role, a sensor is a device that detects physical properties like temperature, motion, or light and converts them into signals for processing. Censor is not a standard term in this field; it may be a misspelling or confusion with 'censor,' which means to suppress or hide information. Understanding sensor types and their data processing is essential for developing effective algorithms in this role.

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 is a synonym for sensor?

A sensor is a device that detects and measures physical properties such as temperature, pressure, or motion. In the context of a Sensor Algorithm Engineer, understanding different types of sensors and their functions is essential for developing accurate algorithms and processing data effectively.

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 a sensor also known as?

A sensor is also known as a transducer or detector, as it converts physical stimuli into electrical signals for processing. Sensor algorithm engineers often work with these devices to develop accurate data interpretation algorithms.
What are popular job titles related to Sensor Algorithm Engineer jobs in Michigan? For Sensor Algorithm Engineer jobs in Michigan, the most frequently searched job titles are:
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

ASRC Federal Holding

Sterling Heights, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

191st of 355 rated engineering


Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
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.
We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity 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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