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Sensor Fusion Engineer Jobs in California (NOW HIRING)

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 · 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 ...

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 ...

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 ...

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Showing results 1-20

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 Jun 17, 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 are the key skills and qualifications needed to thrive in the Sensor Fusion Engineer position, and why are they important?

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 does a typical day look like for a Sensor Fusion Engineer working on autonomous systems?

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 is a Sensor Fusion Engineer job?

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 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 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:

Software Engineer, Sensor Fusion

Rivet Industries

San Jose, CA

$180K - $240K/yr

Other

PTO

Posted 10 days ago


Job description

About Rivet
Rivet is an American company building integrated task systems - fusing hardened hardware with software, sensors, AI, and networking - for industrial workforces and defense personnel. We create capabilities that multiply the effectiveness of every individual and withstand the world's toughest environments.
We serve the people who build, operate, maintain, and defend our way of life. From technicians and engineers to first responders and service members, they embody the hard work, ingenuity, and meritocratic values that drive Western prosperity. Yet too often they are forced to rely on outdated tools that fail under modern pressures. Rivet exists to reset that priority.
At Rivet, you'll join a mission-driven team that fuses disciplines to deliver decisive outcomes where they matter most. Whether shaping our technology, strengthening our partnerships, or building our culture, every role here contributes to equipping the front lines with the modern systems they deserve.
Work Authorization Requirement: Due to the nature of our business and compliance with federal regulations, all candidates must be a "U.S. Person". Upon hire, you will be required to provide documentation verifying your status as a U.S. Citizen, a lawful permanent resident, or a protected individual under 8 U.S.C. 1324b(a)(3).
Role: Software Engineer, Sensor Fusion
Location: San Jose preferred, open to Bellevue, WA
Compensation*: $180,000-$240,000 + benefits
Description
Rivet is looking for a Software Engineer focused on sensor fusion for real-time AR systems on Android and embedded Linux devices. This role sits at the intersection of perception, tracking, and real-time XR experiences - integrating IMUs, cameras, depth sensors, and other device inputs into robust, low-latency spatial computing systems. You will develop the software pipelines that enable accurate 3DoF/6DoF tracking, spatial awareness, and stable AR experiences in demanding operational environments. The role spans real-time systems, state estimation, runtime integration, and performance optimization on constrained hardware platforms. You will work closely with hardware, firmware, computer vision, and XR application teams to deliver performant and reliable sensor-driven AR capabilities.
Responsibilities
  • Develop sensor fusion systems for AR/XR devices using IMU, camera, depth, and other sensor inputs.
  • Implement tracking, calibration, synchronization, filtering, and state estimation pipelines for spatial computing applications.
  • Build performant C++ and C# systems for real-time XR applications and device integration.
  • Integrate with OpenXR and AR runtimes for cross-platform compatibility.
  • Optimize latency, timing, motion stability, and tracking performance on Android and embedded Linux platforms.
  • Develop tooling, visualization, and debugging workflows for sensor validation and performance analysis.
  • Build companion applications and device services in Java/Kotlin for Android-based systems.
  • Use Python for simulation, automation, testing, and build/CI workflows.
  • Collaborate across hardware, firmware, perception, graphics, and backend teams to deliver end-to-end AR capabilities.
Requirements
  • Deep experience building real-time sensor fusion, robotics, AR/VR, perception, or spatial computing systems.
  • MS + at least 3 years (or PhD + at least 1 year) of relevant professional experience.
  • Strong fundamentals in sensor fusion, state estimation, filtering, coordinate systems, motion tracking, and real-time systems.
  • Proficient in C++ and/or C# for performance-critical applications.
  • Experience developing on Android or embedded Linux systems.
  • Familiarity with XR and perception frameworks such as OpenXR, ARCore, SLAM/VIO pipelines, or related technologies.
  • Strong understanding of latency optimization, synchronization, profiling, and CPU/GPU/memory tradeoffs.
  • Experience with Java/Kotlin for Android services and peripheral integration.
  • Python experience for scripting, simulation, automation, or test infrastructure.
  • Ability to collaborate across hardware, firmware, computer vision, and cloud/backend systems.
  • Track record of shipping complex real-time systems or XR capabilities.
Preferred Qualifications
  • PhD in a relevant discipline with 5+ years of industry experience, or MS with 10+ years of industry experience.
  • Experience with visual-inertial odometry (VIO), SLAM, Kalman filtering, or probabilistic estimation techniques.
  • Experience with Unity, Unreal Engine, StereoKit, or comparable 3D/XR engines.
  • Experience working on wearable, robotics, aerospace, defense, or embedded sensing platforms.

*Total compensation may vary within this range and is determined by years and level of relevant experience, job-related skills, education, and other factors. In addition to base salary, this role may be eligible for equity grants and other forms of compensation. Eligible employees also receive a competitive benefits package, including unlimited PTO.
EOE