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Flex Sensor Fusion Engineer Jobs in California (NOW HIRING)

Decisive Point

Perception & Fusion Engineer

Sunnyvale, CA · On-site

$150 - $200/hr

... Fusion engineer, you will be pivotal in developing, integrating, and maintaining real-time sensor ... Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of ...

New

JT4, LLC

Radar Fusion - Engineer

Edwards, CA · On-site

$110K - $185K/yr

Radar Fusion Engineers must stay current with the latest advancements in radar technology and have ... Experience with Radar and Electronic Warfare principles, and sensor operations Knowledge of Low ...

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

Architect sensor-fusion strategies that combine multiple sensing streams into reliable inputs for the AI platform. * Partner closely with Electrical Engineering, Firmware Engineering, Product Design ...

JT4, LLC

Radar Fusion Engineer IV

Edwards, CA · On-site

$120K - $160K/yr

Radar Fusion Engineers must stay current with the latest advancements in radar technology and have ... Experience with Radar and Electronic Warfare principles, and sensor operations * Knowledge of Low ...

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Flex Sensor Fusion Engineer information

What is the difference between Flex Sensor Fusion Engineer vs Wearable Device Engineer?

AspectFlex Sensor Fusion EngineerWearable Device Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor integrationBachelor's or Master's in Electrical Engineering, Mechanical Engineering, or related fields; experience with wearable tech development
Work EnvironmentResearch labs, tech companies, startups focusing on sensor data processingConsumer electronics companies, health tech firms, startups developing wearable products
Industry UsageSensor data fusion, robotics, human-machine interfacesHealth monitoring, fitness devices, consumer wearables

The Flex Sensor Fusion Engineer specializes in integrating and processing data from flex sensors for applications like robotics and human interfaces. In contrast, a Wearable Device Engineer focuses on designing and developing wearable products, often incorporating sensors like flex sensors. While both roles require knowledge of sensors and embedded systems, the Flex Sensor Fusion Engineer emphasizes sensor data fusion techniques, whereas the Wearable Device Engineer concentrates on product development and user experience.

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Flex Sensor Fusion Engineer jobs near you
Infographic showing various Flex Sensor Fusion Engineer job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Sensor Systems Engineer -- Sensor Fusion & Signal Processing

Talentlab

Santa Clara, CA • On-site

$150 - $200/hr

Other

Posted 16 days ago

Job description

Sensor Systems Engineer — Sensor Fusion & Signal Processing

TalentLab is working with a leading semiconductor technology company on a Sensor Systems Engineer opportunity focused on advanced sensing technology for smartphones, wearables, IoT and other embedded consumer devices.

This role is centered on algorithm and systems engineering rather than traditional software development, combining digital signal processing, sensor fusion, estimation and machine learning to develop next-generation sensing capabilities.

What you'll work on

  • Design and develop single and multi-sensor fusion algorithms using DSP and ML techniques.
  • Work with accelerometer, gyroscope, magnetometer and other sensor data.
  • Apply techniques including Kalman filtering, adaptive filtering, linear algebra, probability and statistics.
  • Prototype algorithms using MATLAB and Python.
  • Evaluate and benchmark algorithms across accuracy, performance, power and computational complexity.
  • Support implementation of algorithms in C/C++ on embedded platforms.
  • Work across R&D, systems engineering, software integration, validation and commercial deployment.

What we're looking for

  • Bachelor's, Master's or PhD in Electrical Engineering, Computer Engineering or a related discipline.
  • Strong understanding of digital signal processing and estimation techniques.
  • Experience developing algorithms using IMU or other physical sensor data.
  • Knowledge of Kalman filters, adaptive filters, probability and statistics.
  • Experience with MATLAB and/or Python for algorithm development.
  • Exposure to machine learning techniques including classification, regression and feature extraction.
  • C/C++ experience is beneficial.
  • Publications or research in signal processing, sensor fusion or related areas are an asset.

Location: Santa Clara, CA
Focus: Sensor fusion, DSP, estimation algorithms

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