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Sensor Fusion Jobs (NOW HIRING)

Forum Ventures LLC

Robotics Middleware Founder

Boston, NY · On-site +1

$250K/yr

Sensor fusion is foundational infrastructure being treated like custom engineering. It wastes time, costs money, and breaks in production. Developers building production robotics hit the same wall on ...

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$14

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How much do sensor fusion jobs pay per hour?

As of Jun 15, 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 do professionals in this field 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 June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 3% Part Time, 13% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.

Senior Robotics Engineer

Brahma Consulting Group

New York, NY

$150K - $190K/yr

Full-time

Posted 24 days ago

Job description

We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor calibration that directly impact the growth and success of our business. As we expand, your role will evolve to meet new challenges and priorities.


Key Responsibilities:

  • Lead SLAM development to improve product quality and consistency across diverse operating conditions, including GPS-degraded environments.
  • Enhance sensor fusion and calibration processes by integrating multi-user, multi-session point cloud maps and automating LiDAR and imagery alignment for consistent large-scale scene generation.
  • Drive scalability and reliability by eliminating the need for extrinsic sensor measurements in the field and proactively identifying and correcting data quality issues.
  • Collaborate closely with a mission-driven team of robotics and enterprise software experts to revolutionize fieldwork in the energy sector.
  • Develop and implement perception solutions, focusing on LiDAR, sensor fusion, and SLAM mapping for building accurate environmental maps.


Required Experience & Qualifications:

  • 4+ years of experience in perception and mapping in robotics.
  • Proven background working with mobile platforms such as cars, drones, or robots performing large-scale mapping using LiDAR and other sensors.
  • Hands-on experience with systems integration—understanding how cameras, sensors, vehicles, and perception software work together.
  • Experience with SLAM solutions involving ground-based LiDAR and extensive sensor calibration (intrinsic and extrinsic), including automated data-driven techniques.
  • Proficiency in multimodal sensor fusion and working with ultra-wide-angle cameras.
  • Track record of succeeding on small, fast-moving engineering teams.


Technical Skills:

  • Strong proficiency in C++ and Python.
  • Deep expertise in SLAM, sensor calibration, and sensor fusion techniques.


Soft Skills:

  • Mission-first mindset focused on delivering strong customer and business outcomes.
  • Curiosity and adaptability with a willingness to learn and pivot as needed.