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Sensor Fusion Engineer Jobs in Washington (NOW HIRING)

The engineer will work on advanced radar tracking, sensor fusion, data correlation, and real-time operational displays that directly support homeland security and law enforcement operations. Software ...

C/C++ Software Engineer

Mclean, VA · On-site

$96K - $161K/yr

The engineer will work on advanced radar tracking, sensor fusion, data correlation, and real-time operational displays that directly support homeland security and law enforcement operations.

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Sensor Fusion Engineer information

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$46.4K

$100.7K

$155.7K

How much do sensor fusion engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for sensor fusion engineer in Washington is $100,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $124,000.00 per year, depending on experience, location, and employer.

What is the most futuristic job?

A Sensor Fusion Engineer works at the forefront of developing integrated sensor systems for autonomous vehicles, robotics, and advanced automation. This role involves expertise in signal processing, machine learning, and real-time data integration, often requiring knowledge of AI tools and programming languages. It is considered a highly innovative and rapidly evolving field shaping future technologies.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and certain hardware or systems engineering roles can earn $300,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or aerospace. Executive or lead engineering positions often have compensation packages that reach or exceed this level, including bonuses and stock options.

What are the key skills and qualifications needed to thrive in the Sensor Fusion Engineer position, and why are they important?

To thrive as a Sensor Fusion Engineer, you need strong expertise in signal processing, sensor technologies, and algorithms development, typically backed by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages like C++, Python, and MATLAB, as well as experience using simulation tools and frameworks such as ROS or Simulink, are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts effectively are key soft skills for this role. These abilities are critical for integrating and interpreting data from multiple sensors to deliver accurate and reliable system outputs in real-world applications.

What does a typical day look like for a Sensor Fusion Engineer working on autonomous systems?

As a Sensor Fusion Engineer in the field of autonomous systems, your day will often involve developing algorithms to combine data from different sensors such as cameras, LiDAR, radar, or IMUs. You'll collaborate closely with software, hardware, and testing teams to ensure data integration is robust and optimized for real-time performance. Tasks may include debugging sensor data streams, running simulations, tuning parameters, and conducting tests on actual platforms. Regular team meetings and design reviews help keep projects on track and foster cross-functional problem solving. This dynamic environment requires both independent technical focus and strong teamwork to bring advanced sensor-driven systems to life.

What engineers make $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like technology or finance. Executive-level engineering roles or those with significant leadership responsibilities may also reach this compensation level.

What is a sensor fusion engineer?

A sensor fusion engineer designs and develops systems that combine data from multiple sensors, such as cameras, lidar, and radar, to improve perception and decision-making in applications like autonomous vehicles and robotics. They typically work with algorithms, programming languages like C++ or Python, and tools such as Kalman filters or machine learning models to integrate sensor data accurately and reliably.

What is a Sensor Fusion Engineer job?

A Sensor Fusion Engineer develops algorithms and systems that combine data from multiple sensors (such as cameras, LiDAR, radar, and IMUs) to create a more accurate and reliable representation of the environment. They work in fields like autonomous vehicles, robotics, and aerospace, using techniques such as Kalman filtering, statistical modeling, and machine learning. Their role involves sensor calibration, data processing, and software development to improve perception, localization, and decision-making systems.

What are the most commonly searched types of Sensor Fusion Engineer jobs in Washington? The most popular types of Sensor Fusion Engineer jobs in Washington are:
What are popular job titles related to Sensor Fusion Engineer jobs in Washington? For Sensor Fusion Engineer jobs in Washington, the most frequently searched job titles are:
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What cities in Washington are hiring for Sensor Fusion Engineer jobs? Cities in Washington with the most Sensor Fusion Engineer job openings:
Senior Software Engineer, Robotics Tracking and Fusion

Senior Software Engineer, Robotics Tracking and Fusion

Anduril Industries

Washington, DC • On-site

$138K - $182K/yr

Full-time

Re-posted 10 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. They are seeking a Senior Software Engineer specializing in Robotics Tracking and Fusion to develop cutting-edge algorithms and software solutions that enhance military systems and capabilities.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
Anduril Industries is a defense technology company that specializes in developing advanced autonomous systems to enhance national security. Founded in 2017, the company is headquartered in Costa Mesa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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