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Sensor Algorithm Engineer Jobs in Southfield, MI

OtterBase

Localization Algorithm Engineer

Detroit, MI · On-site

Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other ... engineers to integrate localization algorithms into larger systems. Contribute to code reviews ...

VDart, Inc.

Perception Engineer

Detroit, MI

... sensor synchronization. * Proven experience with perception algorithms for autonomous systems ... Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

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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 May 31, 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 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 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 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:
Sensor Algorithm Engineer jobs near you
Localization Algorithm Engineer

Localization Algorithm Engineer

OtterBase

Detroit, MI • On-site

Other

Posted yesterday

Job description

Job Description Description: This role focuses on developing and optimizing localization algorithms using probabilistic methods and multi-sensor fusion to improve positioning accuracy. You will prototype, simulate, and refine solutions into production-ready code while collaborating across software, hardware, and systems teams in a fast-paced R&D environment. Responsibilities/skills: Develop and refine PC-based localization algorithms using particle filters and other probabilistic techniques.

Implement sensor fusion strategies that integrate data from IMUs, wireless signals, and other external sources to enhance position accuracy. Design simulations to test and validate your algorithms under diverse real-world conditions (e.g., multipath, noise, varying environments). Leverage Python, C++, C#, or MATLAB to prototype and optimize algorithms before porting them to production software

Conduct thorough performance evaluations of localization algorithms, identifying bottlenecks and implementing data-driven optimizations. Collaborate with embedded, FPGA, and RF teams to improve the performance of the location tracking system. Stay current with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

Rapidly prototype novel concepts, iterating on algorithm design to reach production-level stability and robustness. Work cross-functionally with software, hardware, and systems engineers to integrate localization algorithms into larger systems. Contribute to code reviews, knowledge sharing, and team brainstorming sessions to maintain a high level of technical excellence.

Qualifications: Solid background in state estimation, probability theory, and advanced filtering techniques (particle filters, Kalman filters, etc.). Proficiency in at least one programming language (Python, C#, C++, MATLAB) used for developing and evaluating algorithms in a PC-based environment. Solid understanding of DSP algorithms and IQ radio processing

Experience translating theoretical models into efficient, production-ready code, with an emphasis on real-time or near-real-time performance. Familiarity with sensor data processing (IMU, etc.) and a keen interest in multi-sensor fusion methods. Adept at using data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches

Passionate about exploring new ideas, adapting cutting-edge research, and creatively applying them to solve challenging localization problems. Enjoys working as part of a multi-disciplinary R&D team, bridging gaps between software, hardware, and system-level designs. Thrives on tackling open-ended challenges, taking ownership of tasks, and seeking continuous learning opportunities.

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