ZipRecruiter

Log In

1

Internship Sensor Fusion Engineer 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 ...

JT4, LLC

Radar Fusion Engineer IV

Edwards, CA · On-site

$120K - $160K/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 ...

The Pennsylvania State University

$115K - $173K/yr

Design data fusion and estimation frameworks using heterogenous sensor network configurations ... Collaborate with computer vision algorithm developers and data scientists to integrate machine ...

previous pagenext page

Showing results 21-40

All JobsInternship JobsEngineering JobsEngineers JobsInternship Sensor Fusion Engineer Jobs

Internship Sensor Fusion Engineer information

See salary details

$11

$19

$29

How much do internship sensor fusion engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for internship sensor fusion engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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

AspectInternship Sensor Fusion EngineerSensor Data Analyst
Required CredentialsEnrolled in or recent graduate of Electrical Engineering, Computer Science, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, automotive, robotics, or aerospace companiesData analysis teams in tech, automotive, or manufacturing industries
Employer & Industry UsageUsed in autonomous vehicles, robotics, aerospace projectsUsed in data-driven decision making, quality control, and product development

The Internship Sensor Fusion Engineer role focuses on developing algorithms that combine data from multiple sensors for applications like autonomous vehicles and robotics. In contrast, a Sensor Data Analyst interprets sensor data to generate insights, often supporting quality control or product optimization. Both roles require analytical skills but differ in technical focus and industry application.

More about Internship Sensor Fusion Engineer jobs

What cities are hiring for Internship Sensor Fusion Engineer jobs?

Cities with the most Internship 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 Internship Sensor Fusion Engineer jobs?

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

What are popular job titles related to Internship Sensor Fusion Engineer jobs?

For Internship Sensor Fusion Engineer jobs, the most frequently searched job titles are:

Internship Sensor Fusion Engineer jobs near you
Infographic showing various Internship Sensor Fusion Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Machine Learning Systems Engineer -- Sensor Algorithms

Santa Clara, CA • On-site

Talentlab
See more jobs at Talentlabexternal

Other

Posted 19 days ago

Job description

Machine Learning Systems Engineer — Sensor AlgorithmsMachine 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.
#J-18808-Ljbffr

Apply