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Flex Sensor Fusion Engineer Jobs in California (NOW HIRING)

General Atomics

Engineer III

Poway, CA · On-site

$81K - $141K/yr

Implement deterministic fusion + perception infrastructure: * Sensor synchronization, buffering ... Support tracking engineers implementing IMM-EKF/UKF, JPDA, and data association models * Design and ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, multi-sensor fusion and AI infrastructure who are passionate about solving the ...

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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.

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:

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

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

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 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Senior Software Engineer, Inertial Navigation

Waymo

Mountain View, CA • Hybrid

$144K - $190K/yr

Full-time

Re-posted 27 days ago

Job description

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.        

This role follows a hybrid work schedule and you will report to a Software Engineering Manager.

You will:

  • Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm.
  • Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms.
  • Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data.
  • Leverage Waymo's massive datasets to conduct large-scale analyses and optimizations, fine-tune sensor models, characterize system performance, identify root causes of failures, and establish performance guarantees.
  • Collaborate closely within a multi-disciplinary team of engineers to solve complex technical challenges, contribute to a culture of high standards, and share your expertise with fellow team members.

You have:

  • MS, PhD or equivalent industry experience.
  • Expertise in state estimation theory and application, including Kalman Filters, particle filters, factor graphs, and nonlinear optimization techniques.
  • Deep understanding of inertial navigation principles, including sensor modeling, IMU error characterization, calibration, and multi-sensor fusion with GNSS and other aiding sensors.
  • Strong C++ skills and ability to write high quality production level code.

We prefer:

  • Previous experience in the autonomous vehicle industry, particularly in inertial navigation, localization, perception, or sensor fusion.
  • Experience with computer vision, visual inertial odometry, SLAM, ICP or other sensor modalities.
  • Experience developing and using tools for large-scale data analysis and visualization (e.g., SQL, Python with libraries like NumPy, Pandas, Matplotlib).
  • Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems.

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