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Flex Sensor Fusion Engineer Jobs (NOW HIRING)

General Atomics

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 ...

Optimal Inc.

Robotics Software Engineer

Embry Hills, GA · On-site

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 ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

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 ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

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 ...

Forum Ventures LLC

Robotics Middleware Founder

Boston, NY · On-site +1

$250K/yr

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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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 May 31, 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:
What are the most commonly searched types of Sensor Fusion Engineer jobs? The most popular types of Sensor Fusion Engineer jobs are:
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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 May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $88,896 per year, or $42.7 per hour.
Staff Software Engineer - Data Platform

Staff Software Engineer - Data Platform

Hivemapper

San Francisco, CA

$134.90K - $162K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices.  High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge.  Data is automatically uploaded in near realtime over LTE or WiFi.  Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today.

APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation.  Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining.  AI Fleet management tools drive value to large fleets of vehicles.

Data Platform

Every day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world.  A symphony of different Sensor Fusion, ML, AI, and 3D Sensing processes are performed at the edge, feeding an AI conflation system on our processing clusters called Map AI.

The Platform Engineering team is responsible for the core distributed systems, ML infrastructure, data model abstractions, and data engine that powers our data customers, consumer products, and user-facing AI technology.

We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven.
Responsibilities
  • Drive architecture, design, implementation, and eval of our core systems and data platforms
  • Partner across the company to ensure our systems are adaptable to emerging opportunities
  • Help plan technical roadmaps and lead higher level technical strategy
Requirements
  • Experience building production critical systems used by >= thousands of users
  • Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc.
  • Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc.
  • Track record of deploying and maintaining large scale distributed systems
Nice to Haves
  • Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc.
  • Experience managing, generating, and processing large amounts of geospatial or imagery data
  • Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems
  • Experience with blockchain/web3Experience scaling products or systems at hyper-growth startups
What We Offer
  • Medical, dental and vision benefits plus FSA
  • Family leave
  • 401(k) program
  • Unlimited Flex PTO
  • Commuter benefits
  • Paid lunch
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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