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Senior Sensor Fusion Engineer Jobs (NOW HIRING)

Radar Fusion - Engineer

Edwards, CA · On-site

$110K - $185K/yr

JOB DUTIES - ESSENTIAL FUNCTIONS JT4 seeks motivated and experienced junior to senior Radar Fusion ... 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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Senior Sensor Fusion Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior sensor fusion engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for senior sensor fusion engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Sensor Fusion Engineer vs Sensor Systems Engineer?

AspectSenior Sensor Fusion EngineerSensor Systems Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor data processingBachelor's or Master's in Electrical Engineering, Mechanical Engineering, or related fields; knowledge of sensor integration
Work EnvironmentResearch and development teams, automotive, aerospace, robotics industriesDesign and testing of sensor systems, often in automotive, industrial, or consumer electronics sectors
Employer & Industry UsageUsed in autonomous vehicles, robotics, aerospace for sensor data fusionUsed in product development, sensor integration, and system testing in similar industries

The main difference is that a Senior Sensor Fusion Engineer focuses on integrating multiple sensor data sources to create cohesive perception systems, often requiring advanced algorithms and data processing skills. In contrast, a Sensor Systems Engineer typically handles the design, implementation, and testing of sensor hardware and systems. Both roles are vital in industries like automotive and aerospace but differ in their core responsibilities and expertise areas.

What does a Senior Sensor Fusion Engineer do?

A Senior Sensor Fusion Engineer designs and implements algorithms that integrate data from multiple sensors, such as cameras, radars, and lidars, to create a comprehensive understanding of the environment. This role is essential in fields like autonomous vehicles, robotics, and advanced driver-assistance systems (ADAS). Senior engineers not only develop and optimize fusion algorithms, but also analyze sensor data, ensure system reliability, and mentor junior team members. They often collaborate with hardware and software teams to ensure seamless integration and performance. Their expertise helps improve the accuracy, safety, and efficiency of complex sensor-based systems.

What are the key skills and qualifications needed to thrive as a Senior Sensor Fusion Engineer, and why are they important?

A Senior Sensor Fusion Engineer requires advanced knowledge of sensor technologies, signal processing, and algorithms, typically supported by a degree in electrical engineering, computer science, or a related field. Proficiency with programming languages such as C++, Python, and MATLAB, as well as experience with tools like ROS and sensor simulation platforms, is essential. Strong problem-solving skills, teamwork, and effective communication distinguish top performers in this role. These competencies are crucial for developing reliable sensor fusion systems that enable accurate perception and decision-making in complex environments such as autonomous vehicles or robotics.

How does a Senior Sensor Fusion Engineer typically collaborate with cross-functional teams during the development of perception systems?

As a Senior Sensor Fusion Engineer, you will work closely with software engineers, hardware designers, data scientists, and product managers to integrate data from multiple sensors such as cameras, LiDAR, and RADAR. Collaboration often involves defining sensor requirements, troubleshooting integration issues, and optimizing algorithms for real-time performance. Regular cross-team meetings and code reviews are common, ensuring alignment on system architecture and performance targets. Effective communication and the ability to translate complex technical concepts for non-specialists are key to success in this collaborative environment.
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Senior Autonomous Perception Engineer (Sensor Fusion & Calibration) IRC295015

Senior Autonomous Perception Engineer (Sensor Fusion & Calibration) IRC295015

GlobalLogic

Troy, MI • On-site, Remote

$110K - $120K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted yesterday


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

131st of 205 rated software companies


Job description

Description
Salary Verbiage:
GlobalLogic estimates the starting pay range for this role to be performed onsite in Detroit, MI is $110,000 - $120,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
We are seeking a highly skilled Perception Engineer to join our core engineering team. You will be responsible for the design, implementation, and optimization of cutting-edge computer vision and deep learning algorithms that allow our autonomous systems to "see" and interpret the world. This role focuses on the fusion of Camera and LiDAR data to ensure robust performance across diverse and challenging environments.
Requirements
Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and tracking tasks.
Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
Familiarity with ROS2 for perception-based autonomous systems development.
Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).
Job responsibilities
Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
Work with ROS2 for integration and deployment of perception algorithms.
Develop, test, and deploy machine learning models for perception tasks such as object detection and tracking.
Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
What we offer
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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