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Sensor Fusion Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

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Sensor Fusion Engineer information

See California salary details

$40.5K

$87.7K

$135.7K

How much do sensor fusion engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for sensor fusion engineer in California is $87,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $108,100.00 per year, depending on experience, location, and employer.

What is a sensor fusion engineer?

A Sensor Fusion Engineer develops algorithms and systems that combine data from multiple sensors (such as cameras, LiDAR, radar, and IMUs) to create a more accurate and reliable representation of the environment. They work in fields like autonomous vehicles, robotics, and aerospace, using techniques such as Kalman filtering, statistical modeling, and machine learning. Their role involves sensor calibration, data processing, and software development to improve perception, localization, and decision-making systems.

What does a sensor fusion engineer do?

As a Sensor Fusion Engineer in the field of autonomous systems, your day will often involve developing algorithms to combine data from different sensors such as cameras, LiDAR, radar, or IMUs. You'll collaborate closely with software, hardware, and testing teams to ensure data integration is robust and optimized for real-time performance. Tasks may include debugging sensor data streams, running simulations, tuning parameters, and conducting tests on actual platforms. Regular team meetings and design reviews help keep projects on track and foster cross-functional problem solving. This dynamic environment requires both independent technical focus and strong teamwork to bring advanced sensor-driven systems to life.

What skills and qualifications are needed to be a sensor fusion engineer?

To thrive as a Sensor Fusion Engineer, you need strong expertise in signal processing, sensor technologies, and algorithms development, typically backed by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages like C++, Python, and MATLAB, as well as experience using simulation tools and frameworks such as ROS or Simulink, are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts effectively are key soft skills for this role. These abilities are critical for integrating and interpreting data from multiple sensors to deliver accurate and reliable system outputs in real-world applications.

What are the most commonly searched types of Sensor Fusion Engineer jobs in California?

The most popular types of Sensor Fusion Engineer jobs in California are:

What are popular job titles related to Sensor Fusion Engineer jobs in California?

For Sensor Fusion Engineer jobs in California, the most frequently searched job titles are:

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

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

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

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

Sensor Fusion Engineer jobs near you
Infographic showing various 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, with an average salary of $87,732 per year, or $42.2 per hour.

Sensor Systems Engineer -- Sensor Fusion & Signal Processing

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

Other

Posted 22 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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