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How much do sensor fusion jobs pay per hour?

As of Aug 17, 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 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.

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.
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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 73% Full Time, 5% Part Time, and 22% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.

Senior Sensor Fusion Engineer - Autonomous Vehicles

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $162K/yr

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are looking for a strong engineer in the DRIVE Road structure / Online mapping / Context Fusion team. In this role, you will help craft and guide the future of our autonomous driving solution for providing a complete 3D world model including fusing signals between map and perception. You will be working closely with our perception and planning teams in providing a world model that is complete and able to drive in the most challenging roads and intersections in the U.S and China. It is a very exciting role that provides a breadth of interesting areas and is central to our vision in AV. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What You'll Be Doing:
  • Develop core functionality for autonomous driving in all geographies based on the fusion of SOTA perception DNN and map signals.
  • Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
  • Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
  • Enable L3 level autonomy in highway scenarios by creating accurate, reliable and safe models of the world from camera, lidar, radar perception and map signals
  • Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.
  • Be a technology leader by providing the team guidance on approaches to be taken to solve the hardest of AV problems. Be a hands-on collaborator with the team.
  • Mentoring strong engineers within the team.
  • Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions
  • Produce code and designs following automotive quality and safety standards.

What We Need To See:
  • BS, MS, or PhD in Computer Science or related fields or equivalent experience
  • 8+ years of experience, with at least 2+ years in the AV or robotics industry.
  • 2+ years of experience technically leading areas
  • Passion for robotics and autonomous vehicles
  • Drive to learn new things and tackle meaningful problems
  • Outstanding communication and cross-team collaboration especially with multinational teams across the globe.
  • Independent and analytical software engineering skills
  • Software development experience on embedded or automotive platforms.

Ways To Stand Out From The Crowd:
  • Background in 3D computational geometry, computer vision, sensor fusion, localization, mapping, trajectory optimization or state estimation algorithms like Kalman filters, particle filters
  • Significant industry experience in the AV area esp. self-driving cars.
  • Experience developing real-time Computer Vision systems.
  • Strong API and framework design skills

We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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