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Hourly Sensor Fusion Engineer Jobs in California

Sensor Algorithm Engineer - Hardware

Santa Clara, CA ยท On-site

$143K - $189K/yr

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 ...

Sensor Algorithm Engineer - Hardware

Santa Clara, CA ยท On-site

$145K - $191K/yr

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 ...

Sensor Algorithm Engineer - Hardware

Santa Clara, CA ยท On-site

$145K - $191K/yr

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 ...

Radar Fusion - Engineer

Edwards, CA ยท 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 ...

Radar Fusion - Engineer

Edwards, CA ยท 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 ...

Lead Sensor Engineer

Palo Alto, CA ยท 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 ...

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Showing results 1-20

Hourly Sensor Fusion Engineer information

What is the difference between Hourly Sensor Fusion Engineer vs Sensor Data Analyst?

AspectHourly Sensor Fusion EngineerSensor Data Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with sensor systemsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentEngineering labs, R&D teams, manufacturing settingsData analysis departments, research teams, tech companies
Industry UsageAutonomous vehicles, robotics, aerospaceIoT, manufacturing, healthcare analytics
Common Search/ComparisonYesNo

The Hourly Sensor Fusion Engineer focuses on integrating multiple sensor data streams to improve system performance, often working in engineering environments. In contrast, the Sensor Data Analyst interprets sensor data to generate insights, typically within data-driven departments. While both roles involve sensor data, their focus, skills, and work settings differ significantly.

What job categories do people searching Hourly Sensor Fusion Engineer jobs in California look for?

The top searched job categories for Hourly Sensor Fusion Engineer jobs in California are:

What cities in California are hiring for Hourly Sensor Fusion Engineer jobs?

Cities in California with the most Hourly Sensor Fusion Engineer job openings:

Infographic showing various Hourly Sensor Fusion Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 50% Full Time, 42% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution.

Sensor Systems Engineer -- Sensor Fusion & Signal Processing

Santa Clara, CA โ€ข On-site

Other

Posted 21 days ago


Job description

Sensor Systems Engineer โ€” 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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