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Sensor Fusion Engineer Jobs (NOW HIRING)

Engineer III

Poway, CA · On-site

$81.08K - $141.65K/yr

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

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Design and implement algorithms for sensor fusion and real-time processing * Collaborate with hardware engineers on PCB, power, and signal design to ensure seamless system integration * Debug, test ...

Sensor fusion is foundational infrastructure being treated like custom engineering. It wastes time, costs money, and breaks in production. Developers building production robotics hit the same wall on ...

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Sensor Fusion Engineer information

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$41K

$88.9K

$137.5K

How much do sensor fusion engineer jobs pay per year?

As of May 29, 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 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 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 cities are hiring for Sensor Fusion Engineer jobs? Cities with the most Sensor Fusion Engineer job openings:
What are the most commonly searched types of Sensor Fusion Engineer jobs? The most popular types of Sensor Fusion Engineer jobs are:
What states have the most Sensor Fusion Engineer jobs? States with the most job openings for Sensor Fusion Engineer jobs include:
Infographic showing various Sensor Fusion Engineer job openings in the United States as of May 2026, with employment types broken down into 31% Full Time, 27% Part Time, 1% Temporary, 40% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.

Robotics Perception Engineer I/II - Perception Systems & Integration

Zone 5 Technologies

San Luis Obispo, CA • On-site

Other

Posted 17 days ago


Job description

We are seeking a Robotics Perception Engineer to build and integrate real-time vision systems and perception infrastructure for unmanned aerial platforms. You will develop camera pipelines, implement sensor fusion algorithms, and create robust testing frameworks to ensure reliable perception performance across diverse operating conditions. 

Responsibilities: 

Vision System Integration 

  • Develop and maintain camera drivers and sensor interfaces for multi-camera systems on embedded platforms
  • Integrate off-the-shelf and custom perception algorithms into production autonomy stacks
  • Build efficient image processing pipelines using GStreamer, V4L2, and Jetson multimedia APIs
  • Implement camera calibration workflows including intrinsic, extrinsic, and temporal synchronization
  • Design data logging and telemetry systems for perception subsystem monitoring and debugging 

Perception Infrastructure & ROS2 Development 

  • Build ROS2 nodes for camera capture, sensor fusion, and perception output distribution 
  • Develop standardized message interfaces and APIs between perception, planning, and control systems 
  • Create visualization and diagnostic tools for real-time perception system health monitoring 
  • Implement efficient data serialization and transport for high-bandwidth sensor streams 
  • Maintain perception software repositories with proper documentation and version control 

Algorithm Implementation & Tuning 

  • Integrate visual-inertial odometry (VIO) and SLAM libraries for state estimation 
  • Tune EKF/UKF filters for multi-sensor fusion from IMU, cameras, barometers, and rangefinders 
  • Implement outlier rejection and sensor health monitoring for robust operation 
  • Optimize algorithm parameters based on flight test data and performance metrics 

Testing & Validation 

  • Design comprehensive test scenarios in simulation environments 
  • Develop automated regression test suites for continuous integration of perception updates 
  • Analyze flight logs and sensor data to identify failure modes and performance degradation 
  • Create hardware-in-the-loop test setups for pre-flight validation 
  • Support flight test operations and conduct post-flight performance analysis 

Qualifications:

  • 2-4+ years of experience in robotics perception, computer vision, or sensor integration 
  • Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, or related field - equivalent industry experience also welcome
  • Proficient in C++14/17 with understanding of modern software development practices 
  • Strong hands-on experience with ROS2 architecture, packages, and development workflows 
  • Solid understanding of camera systems, image sensors, and computer vision fundamentals 
  • Experience with sensor calibration procedures and multi-sensor time synchronization 
  • Familiarity with Linux development environments and embedded systems 
  • Strong debugging skills and experience with system-level integration 

Preferred: 

  • Experience with camera drivers, GStreamer, V4L2, or similar multimedia frameworks 
  • Hands-on experience with NVIDIA Jetson platforms (Orin, Xavier, AGX) 
  • Prior work with small UAVs, drones, or mobile robotics platforms 
  • Familiarity with PX4 or ArduPilot autopilot systems and MAVLink protocol 
  • Experience with state estimation techniques (EKF, UKF, particle filters) 
  • Knowledge of VIO/SLAM frameworks (OpenVINS, VINS-Fusion, ORB-SLAM) 
  • Python skills for data analysis, visualization, and tooling development 
  • Understanding of real-time systems and computational performance optimization 
  • Experience with CI/CD pipelines for robotics software 
    • Background in sensor fusion, optical flow, or feature-based tracking 

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