ZipRecruiter

Log In

1

Sensor Fusion Jobs (NOW HIRING)

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 ...

previous pagenext page

Showing results 21-40

All JobsSensor Fusion Jobs

Sensor Fusion information

See salary details

$14

$29

$45

How much do sensor fusion jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for sensor fusion in the United States is $29.73, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $34.38 per hour, depending on experience, location, and employer.

What is sensor fusion and what does a sensor fusion engineer do?

Sensor fusion is the process of integrating data from multiple sensors to produce more accurate, reliable, and comprehensive information than would be possible using a single sensor. Professionals in this field design algorithms and systems that combine inputs from sources like cameras, lidar, radar, and inertial sensors to enhance perception and decision-making, especially in applications like autonomous vehicles, robotics, and IoT devices. Their work ensures that sensor data is interpreted in a way that improves overall system performance and safety.

How does a sensor fusion engineer typically collaborate with hardware and software teams during a project?

Sensor Fusion engineers work closely with both hardware and software teams to ensure the seamless integration of multiple sensor data streams. They often participate in cross-functional meetings to align on sensor specifications, data formats, and system constraints. Regular coordination is required to troubleshoot integration challenges and optimize algorithms for real-time performance, making strong communication and teamwork skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a sensor fusion engineer, and why are they important?

To thrive as a Sensor Fusion Engineer, you need a strong background in mathematics, signal processing, and computer science, typically supported by a degree in engineering or a related field. Experience with tools like MATLAB, Python, C++, and frameworks such as ROS, as well as knowledge of sensor technologies (e.g., LiDAR, radar, IMU), is essential. Strong problem-solving, collaboration, and communication skills help you integrate and interpret data from diverse sensors and work effectively within multidisciplinary teams. These abilities are critical for developing reliable systems that accurately perceive and interpret complex real-world environments.

What is the difference between Sensor Fusion vs Sensor Data Analyst?

AspectSensor FusionSensor Data Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; knowledge of algorithms and programmingBachelor's or higher in data analysis, statistics, or related fields; proficiency in data tools and visualization
Work EnvironmentResearch labs, tech companies, automotive, aerospace industriesData analysis firms, research institutions, tech companies
Industry UsageDeveloping integrated sensor systems for autonomous vehicles, robotics, aerospaceInterpreting sensor data for insights, reporting, and decision-making

Sensor Fusion involves integrating data from multiple sensors to create comprehensive information, often requiring advanced algorithms and programming skills. Sensor Data Analysts focus on examining sensor data to extract insights, using statistical tools and visualization. While both roles work with sensor data, Sensor Fusion is more technical and algorithm-driven, whereas Sensor Data Analysts emphasize data interpretation and reporting.

More about Sensor Fusion jobs

What cities are hiring for Sensor Fusion jobs?

Cities with the most Sensor Fusion job openings:

What states have the most Sensor Fusion jobs?

States with the most job openings for Sensor Fusion jobs include:

What job categories do people searching Sensor Fusion jobs look for?

The top searched job categories for Sensor Fusion jobs are:

Sensor Fusion jobs near you
Infographic showing various Sensor Fusion job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 5% Part Time, and 11% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.

Machine Learning Systems Engineer - Sensor Algorithms

Talentlab

Santa Clara, CA • On-site

Full-time

Posted 17 days ago

Job description

Machine Learning Systems Engineer - Sensor Algorithms
Location: Santa Clara, CA
Focus: Multi-modal sensor fusion, signal processing, ML algorithms
TalentLab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms.
This is an R&D-oriented role developing algorithms for single and multi-sensor systems used in smartphones, wearables, IoT and other consumer devices. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning, with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.
This is not a traditional ML software engineering or model deployment position. We're particularly interested in engineers with strong research foundations in sensor algorithms, signal processing and statistical methods.
What you'll work on
  • Develop algorithms for single and multi-sensor fusion using ML/AI and statistical techniques.
  • Prototype and evaluate algorithms using Python and MATLAB.
  • Work with inertial sensors and IMU data, including accelerometers and gyroscopes.
  • Design strategies for data collection, analysis, validation and benchmarking.
  • Evaluate trade-offs between algorithm performance, computational complexity and power consumption.
  • Translate algorithm designs toward embedded implementation in C/C++.
  • Collaborate with systems, software, integration and test engineers throughout the product lifecycle.

What we're looking for
  • PhD or Master's degree in Electrical Engineering, Computer Engineering or a closely related discipline.
  • Strong background in signal processing, probability, statistics and estimation.
  • Experience with sensor fusion and/or inertial sensing.
  • Understanding of supervised and unsupervised learning, feature extraction, classification and regression.
  • Strong Python and/or MATLAB skills.
  • Hands-on algorithm development, experimentation and debugging experience.
  • Research or publications in sensor fusion, signal processing, estimation or related areas are highly valued.

Recent PhD graduates with relevant research experience are strongly encouraged to apply
How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.
www.talentlab.com

Apply