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Sensor Fusion Engineer Jobs (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 ...

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 ...

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Sensor Fusion Engineer information

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How much do sensor fusion engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for sensor fusion engineer in the United States is $88,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $109,500.00 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.

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Sensor Fusion Engineer jobs near you
Infographic showing various Sensor Fusion Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.

Sensor Systems Engineer -- Sensor Fusion & Signal Processing

Talentlab

Santa Clara, CA • On-site

$150 - $200/hr

Other

Posted 18 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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