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Internship Sensor Fusion Engineer Jobs (NOW HIRING)

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 ...

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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 ...

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 ...

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Internship Sensor Fusion Engineer information

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

As of Jul 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.

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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:
Perception & Fusion Engineer

Perception & Fusion Engineer

Applied Intuition

Freeport, FL • On-site

Full-time

Posted 7 days ago

New


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.