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Sensor Fusion Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

Jobtailor

ML Engineer - Robotics

Mountain View, CA · On-site

Build computer vision and sensor-fusion systems using camera, LiDAR, and IMU data. * Integrate ... Collaborate with robotics and hardware engineers to deploy models in live environments.

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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 14, 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?

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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.

Machine Learning Systems Engineer - Sensor Algorithms

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

Full-time

Posted 25 days ago

Job description

Machine Learning Systems Engineer - Sensor Algorithms
Location: Santa Clara, CA
Focus: Multi-modal sensor fusion, signal processing, ML algorithms
TalentLab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms.
This is an R&D-oriented role developing algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other consumer devices. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning, with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.
This is not a traditional ML software engineering or model deployment position. We're particularly interested in engineers with strong research foundations in sensor algorithms, signal processing and statistical methods.
What you'll work on
  • Develop algorithms for single and multi-sensor fusion using ML/AI and statistical techniques.
  • Prototype and evaluate algorithms using Python and MATLAB.
  • Work with inertial sensors and IMU data, including accelerometers and gyroscopes.
  • Design strategies for data collection, analysis, validation and benchmarking.
  • Evaluate trade-offs between algorithm performance, computational complexity and power consumption.
  • Translate algorithm designs toward embedded implementation in C/C++.
  • Collaborate with systems, software, integration and test engineers throughout the product lifecycle.

What we're looking for
  • PhD or Master's degree in Electrical Engineering, Computer Engineering or a closely related discipline.
  • Strong background in signal processing, probability, statistics and estimation.
  • Experience with sensor fusion and/or inertial sensing.
  • Understanding of supervised and unsupervised learning, feature extraction, classification and regression.
  • Strong Python and/or MATLAB skills.
  • Hands-on algorithm development, experimentation and debugging experience.
  • Research or publications in sensor fusion, signal processing, estimation or related areas are highly valued.

Recent PhD graduates with relevant research experience are strongly encouraged to apply
How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.
www.talentlab.com

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