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Motion Sensor Algorithm Engineer Jobs (NOW HIRING)

Kearfott Corporation

Algorithm Engineer I

Pine Brook, NJ · On-site

$80K - $95K/yr

... motion control products and inertial navigation components. Kearfott has a very long history of ... Implement basic navigation, localization, estimation, and sensor-processing algorithms from ...

Saige Partners

Navigation Software Engineer

San Jose, CA · On-site

$65 - $75/hr

We are seeking a highly skilled Software Engineer to develop and optimize motion sensor and positioning algorithms within an advanced embedded software environment This role focuses on improving ...

Imagry

Motion Planning Engineer

San Jose, CA

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose CA, US. In this role, you will ...

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US. imagry.7F.66C ...

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Description Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose, CA, US. imagry.7F ...

Protingent

Navigation Software Engineer

San Jose, CA · On-site

$65 - $75/hr

Navigation Software Engineer Position Description : Protingent Staffing has an exciting contract ... Develop, implement and optimize C/C++ code for the Motion Sensor and/or Positioning algorithms ...

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Motion Sensor Algorithm Engineer information

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$44K

$106.4K

$173.5K

How much do motion sensor algorithm engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for motion sensor algorithm engineer in the United States is $106,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a motion sensor algorithm engineer do?

A Motion Sensor Algorithm Engineer is responsible for designing, developing, and optimizing algorithms that interpret data from motion sensors such as accelerometers, gyroscopes, and magnetometers. These algorithms enable devices to accurately detect and respond to movement, orientation, and gestures. Motion Sensor Algorithm Engineers work closely with hardware and software teams to ensure seamless integration of sensors into consumer electronics, automotive systems, and other applications. Their work is crucial for features like step counting, device rotation, gesture recognition, and navigation.

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

To thrive as a Motion Sensor Algorithm Engineer, you need a solid background in signal processing, sensor fusion, and strong programming skills, typically supported by a degree in electrical engineering, computer science, or a related field. Familiarity with tools such as MATLAB, Python, and embedded systems, as well as experience with IMUs (Inertial Measurement Units), is commonly required. Analytical thinking, problem-solving abilities, and effective teamwork are crucial soft skills that set top performers apart. These capabilities are essential for developing accurate, robust algorithms that power sensor-driven applications in industries like automotive, robotics, and consumer electronics.

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

As a Motion Sensor Algorithm Engineer, you will often work closely with both hardware and software teams to ensure seamless integration of motion algorithms into devices. This involves frequent cross-functional meetings to align on sensor specifications, data formats, and performance targets. You may be responsible for translating raw sensor data into actionable insights, requiring you to communicate complex algorithmic needs to firmware and hardware engineers. Effective collaboration ensures that the final product functions efficiently and meets user expectations for responsiveness and accuracy.

What is the difference between Motion Sensor Algorithm Engineer vs Computer Vision Engineer?

AspectMotion Sensor Algorithm EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor data processingBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; expertise in image processing and machine learning
Work EnvironmentEmbedded systems, IoT devices, hardware integrationSoftware development, image/video analysis, AI frameworks
Industry UsageConsumer electronics, smart home devices, automotive sensorsAutonomous vehicles, surveillance, robotics

The Motion Sensor Algorithm Engineer focuses on developing algorithms for interpreting sensor data like accelerometers and gyroscopes, often in embedded systems. In contrast, the Computer Vision Engineer specializes in analyzing visual data from cameras. While both roles require strong programming skills and knowledge of algorithms, their applications and data types differ significantly, catering to different aspects of sensor and image processing in technology products.

What are popular job titles related to Motion Sensor Algorithm Engineer jobs?

For Motion Sensor Algorithm Engineer jobs, the most frequently searched job titles are:

Infographic showing various Motion Sensor Algorithm Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,386 per year, or $51.1 per hour.

Sensor Algorithm Engineer - Hardware

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

$143K - $189K/yr

Other

Posted 20 days ago

Job description

Sensor Algorithm Engineer – Hardware / ASIC

Location: Santa Clara, California
Focus: Sensor Fusion, DSP, Fixed-Point Algorithms, ASIC Implementation

TalentLab is recruiting a Sensor Algorithm Engineer to develop advanced sensor fusion and signal processing algorithms targeted for hardware implementation.

This is a systems and algorithm design role sitting between sensor algorithms and ASIC hardware. You'll develop and evaluate algorithms using MATLAB and Python, translate them into fixed-point designs suitable for hardware implementation, and work closely with hardware, systems and software engineers as designs move from early R&D toward commercial products.

The technology is used across smartphones, wearables, IoT and other consumer devices, with a particular focus on extracting accurate information from inertial and other physical sensors.

What You'll Work On

Develop single and multi-sensor fusion algorithms targeted for ASIC implementation.

Design and optimize fixed-point implementations of signal processing and sensor algorithms.

Prototype and evaluate algorithms using MATLAB and Python.

Work with accelerometer, gyroscope, magnetometer and other sensor data.

Apply DSP, estimation and statistical techniques to real-world sensor problems.

Balance algorithm accuracy against hardware constraints including performance, power and computational complexity.

Validate and benchmark algorithms throughout the development process.

Work closely with ASIC, systems, software, integration and validation teams.

Support C/C++ implementations where required for software-based development and validation.

Produce detailed algorithm design, evaluation and implementation documentation.

What We're Looking For

Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a closely related discipline.

Strong foundation in digital signal processing and algorithm development.

Experience with fixed-point algorithm design and implementation.

Strong MATLAB and/or Python skills.

Experience with techniques such as Kalman filtering, adaptive filtering, linear algebra, probability and statistics.

Experience with sensor fusion, particularly using inertial sensors or IMUs.

Understanding of the considerations involved in translating algorithms from high-level models into hardware.

Hands-on algorithm implementation and debugging experience in software and/or hardware.

Particularly Relevant Experience

We're especially interested in candidates with experience in one or more of the following:

DSP algorithms targeted for ASIC or FPGA implementation.

Hardware-oriented algorithm design.

Sensor fusion and estimation.

Kalman filters and adaptive filtering.

IMUs, accelerometers, gyroscopes and magnetometers.

MATLAB-based algorithm modelling and simulation.

Signal processing architecture and hardware/software partitioning.

C/C++ implementation of signal processing algorithms.

Machine learning techniques applied to sensor data.

Research or publications in signal processing, sensor fusion or related areas.

The Role

The key distinction in this position is the hardware destination of the algorithms. We're not looking for a general machine learning engineer or an embedded software developer. The strongest candidates will understand both the mathematics behind signal-processing and sensor-fusion algorithms and the practical constraints involved in implementing those algorithms efficiently in silicon.

The role can accommodate candidates at different stages of their careers, including recent PhD graduates with directly relevant research in signal processing, sensor fusion, fixed-point design or hardware-oriented algorithm development.

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