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Internship Sensor Fusion Engineer Jobs (NOW HIRING)

The Pennsylvania State University

$109.30K - $164K/yr

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

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

As of May 28, 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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Internship Sensor Fusion Engineer jobs near you
ADAS Fusion Performance Engineer

ADAS Fusion Performance Engineer

General Motors

Milford, MI • On-site

Full-time

Posted 18 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
As an ADAS Fusion Performance Engineer, you will be responsible for developing, optimizing, and validating object fusion performance for GM's Advanced Driver Assistance Systems (ADAS). This senior individual contributor position focuses on how radars, cameras, lidar, and other sensor modalities are fused and selected as relevant targets to deliver robust perception for safe, confident vehicle behavior across environments and use cases. You will collaborate closely with feature performance engineers, sensor performance engineers, system engineers, and software developers to ensure fusion outputs meet feature-level performance, safety, regulatory, and customer experience targets.
Key Responsibilities
  • Own fusion performance for assigned vehicle platforms from initiation through launch and field performance support.
  • Lead vehicle and simulation testing to characterize and develop fusion performance, including test design, data collection, test execution, and results analysis for a wide range of environments, traffic scenarios, and edge cases.
  • Develop and optimize fusion-related parameters utilizing big data, ensuring robust operation across vehicle lines and hardware variants, and delivering production-ready calibrations to programs on time.
  • Serve as the single-point technical contact for fusion performance root cause and issue resolution, including correlation between sensor-level behavior and fused object/scene outputs.
  • Collaborate with sensor performance engineers (radar, camera, lidar, etc.) to align sensor requirements and capabilities with fusion algorithm needs and feature performance targets.
  • Use simulation and data-driven methods (e.g., SIL/HIL, scenario-based testing, replay of recorded data) to evaluate, regress, and improve fusion algorithms and calibrations, complementing vehicle testing.
  • Analyze complex data sets from on-road vehicles, proving ground tests, and virtual environments to identify performance gaps, sensitivity to environmental factors, and opportunities for algorithm or calibration improvements.
  • Support cross-functional technical discussions and reviews with ADAS software, perception, planning, systems, program teams, safety, and validation to drive alignment on fusion performance decisions and trade-offs.
  • Support validation and verification activities for fusion-impacted features, such as Adaptive Cruise Control and Automatic Emergency Braking.
  • Document and communicate results, lessons learned, and issues; contribute to standardized methods, tools, and metrics for fusion performance within the broader ADAS organization and program milestones.
  • Travel as needed for development testing and performance buy-offs at proving grounds and key test locations.

Required Qualifications
  • Bachelor of Science degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Systems Engineering, Robotics, or a related STEM discipline.
  • Minimum of 5 years post-graduate professional engineering experience, preferably in ADAS, automated driving, perception/fusion, or closely related fields.
  • Demonstrated experience with vehicle or component/sensor development, integration, and diagnostics, including hands-on test, data logging, and analysis.
  • Strong understanding of sensor-based ADAS systems (e.g., radar, camera, lidar, ultrasonic, GNSS/IMU) and how they contribute to perception and feature behavior.
  • Ability to root cause complex, multi-domain problems involving sensors, perception/fusion algorithms, vehicle dynamics, and feature logic.
  • Experience with complex vehicle instrumentation and data acquisition, including configuration of loggers and interpretation of time-synchronized sensor and vehicle data.
  • Familiarity with automotive communication networks such as CAN, GMLAN, and Ethernet, and associated tools for data inspection and debugging.
  • Proficiency with engineering and data analysis tools commonly used in ADAS development (e.g., MATLAB/Simulink, Python, INCA/MDA, CAN tools such as Canalyzer or VSpy).
  • Strong oral and written communication skills, with the ability to work effectively within multi-disciplinary and cross-functional teams, often under minimal direction.
  • Valid driver's license and ability to operate test vehicles.

Preferred Qualifications
  • Master's degree in Electrical Engineering, Computer Engineering, Robotics, or related field with focus on perception, signal processing, or sensor fusion.
  • 7+ years of overall engineering experience in automotive ADAS, robotics perception, or sensor fusion algorithm development and calibration.
  • Direct experience in sensor fusion or perception algorithms (e.g., object detection, tracking, classification, multi-sensor association) and their calibration/performance tuning.
  • Prior experience as an Active Safety or Automated Driving Performance Calibration Engineer, especially in areas such as Automatic Emergency Braking, Object Fusion, or Adaptive Cruise Control.
  • Experience with virtual development and scenario-based testing, including SIL/HIL environments and large-scale data replay or synthetic data generation for ADAS performance evaluation.
  • Knowledge of DFSS / Six Sigma methods and structured problem-solving; DFSS Black Belt or similar training is a plus.
  • Understanding of global vehicle development processes and exposure to production release, launch, and field performance monitoring.
  • Familiarity with regulatory and safety considerations for ADAS features (e.g., FMVSS requirements and emerging ADAS-related regulations) and their impact on fusion and perception performance.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.The selected candidate will be required to travel <25% for this role.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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