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Sensor Algorithm Engineer Jobs in Michigan (NOW HIRING)

Optimal Inc.

Robotics Engineer - AMR

Warren, MI

Robotics Engineer - Autonomous Mobile Robotics (AMR) Position Summary We are seeking a highly ... sensor fusion, mapping, and autonomous navigation. * Experience integrating AI/ML algorithms into ...

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

Robotics Engineer - Autonomous Mobile Robotics (AMR)Position SummaryWe are seeking a highly skilled ... sensor fusion, mapping, and autonomous navigation.Experience integrating AI/ML algorithms into ...

Aptiv PLC

System Modeling & Integration Engineer

Troy, MI · On-site

$158K/yr

ADAS Algorithm Integration Engineer (IC Role) Why join Aptiv? You'll have the opportunity to work ... Experience with camera, radar, and lidar sensor integration. * Knowledge of middleware such as DDS ...

Aptiv

System Modeling & Integration Engineer

Troy, MI · On-site

$158K/yr

ADAS Algorithm Integration Engineer (IC Role) Why join Aptiv? You'll have the opportunity to work ... Experience with camera, radar, and lidar sensor integration. * Knowledge of middleware such as DDS ...

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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 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:

Sensor Algorithm Engineer jobs near you

Localization Algorithm Engineer for RF Products

talentmovers inc

Southfield, MI • On-site

Contractor

Re-posted 22 days ago

Job description

Job Title: Localization Algorithm Engineer for RF Products

Location: Southfield, MI (5 days in a week onsite)

Duration: 12+ Months

Rate:  on C2C

Job Description

Approach to algorithms

Bring your confirmed experience in translating theoretical models into efficient, production-ready code. Your familiarity with sensor data processing and multi-sensor fusion methods will drive innovative solutions that challenge in the global market.

Analytical & Innovative

We value your powerful ability to use data analytics and simulations to diagnose issues, validate assumptions, and refine algorithmic approaches. Your passion for exploring new ideas and adapting the latest research will be vital for implementing creative solutions for complex localization problems.

Collaborative & Driven

Our team excels in collaboration and is motivated by a common objective of excellence. You will appreciate collaborating with a diverse R&D team, connecting software, hardware, and system-level compositions. Your motivation to address undefined challenges and pursue ongoing learning opportunities will be greatly appreciated.

Job Responsibilities

· 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 improve position accuracy.

· Develop 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.

· Perform detailed 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 ahead of with the latest academic and industry research in probabilistic localization, sensor fusion, and state estimation.

· Rapidly prototype novel concepts, iterating on algorithm development to reach production-level stability and robustness.

· Collaborate with software, hardware, and systems engineers to incorporate localization algorithms into broader systems.

· Chip in to code reviews, collaborating with the team in brainstorming sessions to uphold technical excellence