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Sensor Fusion Jobs (NOW HIRING)

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 ...

$200 - $250/hr

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months ...

$250/hr

Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments. * Develop high-performance software for ...

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Sensor Fusion information

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How much do sensor fusion jobs pay per hour?

As of Sep 7, 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 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.

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.

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What states have the most Sensor Fusion jobs?

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What job categories do people searching Sensor Fusion jobs look for?

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Infographic showing various Sensor Fusion job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 5% Part Time, and 11% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $61,829 per year, or $29.7 per hour.

Senior Software Engineer, Robotics Tracking and Fusion

Slope

Washington, DC • On-site

$250/hr

Other

Re-posted 3 days ago


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real‑world problems through cutting‑edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what’s possible to deliver advanced technologies with mission‑critical applications. Our commitment doesn’t end with academic research or proof‑of‑concept experiments; we measure our success by the real‑world impact of our deployed solutions. Inspired by Arthur C. Clarke’s vision — “Any sufficiently advanced technology is indistinguishable from magic” — we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.

WHAT YOU WILL DO
  • Define and influence the direction of a small team, leveraging your subject‑matter expertise in target tracking and state estimation.
  • Prototype and deploy state‑of‑the‑art algorithms for tracking, multi‑sensor data fusion, and state estimation in agile, iterative development environments.
  • Develop high‑performance software for real‑time systems, ranging from tactical implementations to simulation environments and decision support tools.
  • Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
  • Analyze system performance using high‑fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
  • Drive customer success by customizing algorithms and software for mission‑critical use cases, including real‑time tracking and sensor fusion.
  • Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
  • Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end‑users.
REQUIRED QUALIFICATIONS
  • Proficiency in algorithm design, software development, and statistical modeling with programming expertise in C/C++, Python, and Matlab.
  • Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi‑target tracking algorithms (e.g., JPDA, MHT, or PHD filters).
  • Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
  • Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
  • Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
  • Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large‑scale sensor data.
  • Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
  • Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
  • Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Salary Range: $220,000 – $292,000 USD

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