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Flex Sensor Fusion Engineer Jobs (NOW HIRING)

Applied Intuition

Perception & Fusion Engineer

Poway, CA · On-site

$150K - $220K/yr

About the role As a Perception & Fusion engineer, you will be pivotal in developing, integrating ... 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 ...

OSI Engineering, Inc.

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 ...

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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Flex Sensor Fusion Engineer information

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$41K

$88.9K

$137.5K

How much do flex sensor fusion engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for flex 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 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.

More about Flex Sensor Fusion Engineer jobs
What cities are hiring for Flex Sensor Fusion Engineer jobs? Cities with the most Flex Sensor Fusion Engineer job openings:
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Flex Sensor Fusion Engineer jobs near you
Infographic showing various Flex Sensor Fusion Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.
Perception & Fusion Engineer

Perception & Fusion Engineer

Applied Intuition

Freeport, FL • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Applied Intuition is a Silicon Valley company powering the future of physical AI, creating digital infrastructure for autonomous vehicles. The Perception & Fusion Engineer will develop and integrate real-time sensor software solutions for various autonomous platforms, focusing on sensor fusion algorithms and customer interaction.
Responsibilities:
• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback
Qualifications:
Required:
• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Experience with state of the art estimation, tracking, and fusion algorithms.
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision
• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance
Preferred:
• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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