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Sensor Fusion Jobs in Virginia (NOW HIRING)

Sensor Integration Engineer

Reston, VA ยท On-site

$110 - $160/hr

Support sensor-to-COP integration and data fusion activities. * Validate interoperability between Government-furnished, Leidos, and teammate-provided systems. Technical Integration & Configuration

C/C++ Software Engineer

Mclean, VA ยท 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. Software ...

C/C++ Software Engineer

Mclean, VA ยท 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.

Data Scientist III

Charlottesville, VA ยท On-site

$98K - $171K/yr

Our teams solve hard technical problems across tracking, sensor fusion, geospatial analytics, and large-scale operational software. We value rigorous thinking, sound technical judgment, and practical ...

GN&C Navigation Engineer III

Reston, VA ยท On-site

$164K - $230K/yr

Support the developmentofnavigation and sensor fusion algorithms, and execute component-level test programs including sensor characterization, modeling, and integrated on-vehicle testing * Develop ...

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Sensor Fusion information

See Virginia salary details

$14

$29

$45

How much do sensor fusion jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for sensor fusion in Virginia is $29.47, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $34.09 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.

Infographic showing various Sensor Fusion job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 6% Part Time, and 18% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $61,298 per year, or $29.5 per hour.

Sensor Integration Engineer

NCSL International

Reston, VA โ€ข On-site

$110 - $160/hr

Other

Posted 11 days ago


Job description

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customersโ€™ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a dedication to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If this sounds like the type of environment where you can thrive, keep reading!

The Force Protection Division is looking for a Sensor Integration Engineer to serve as the technical lead for the integration, configuration, testing, and operational validation of force protection sensing technologies supporting the Rock Island Arsenal (RIA) Increased Access OTA Prototype.

This position is responsible for integrating and validating multiple sensor types โ€“ including radar, electro-optical/infrared (EO/IR), electronic warfare (EW), LiDAR, acoustic detection, access control, and supporting communications technologies โ€“ into a unified operational environment. The Sensor Integration Engineer works closely with the Lead Systems Engineer, Software & Platform Engineering Lead, Field Operations Lead, Cyber/OT Engineer, and subcontractor technical teams to ensure all sensing technologies operate as an integrated layered protection ecosystem within an active Army operational environment.

Primary Responsibilities Sensor Systems Integration
  • Integrate force protection sensors into the unified operational architecture.
  • Configure and validate radar, EO/IR, LiDAR, acoustic, electronic warfare, and access control technologies.
  • Support sensor-to-COP integration and data fusion activities.
  • Validate interoperability between Government-furnished, Leidos, and teammate-provided systems.
Technical Integration & Configuration
  • Configure sensor interfaces, communications paths, and operational parameters.
  • Support API and interface integration activities.
  • Develop and maintain Interface Control Documents (ICDs) as required.
  • Coordinate sensor configuration with software and systems engineering teams.
Operational Testing & Validation
  • Conduct field integration testing and operational validation.
  • Perform sensor calibration and performance optimization.
  • Support end-to-end operational workflow validation.
  • Participate in Operational Readiness Reviews (ORRs) and Government demonstrations.
  • Validate sensor performance against operational scenarios and mission requirements.
Field Deployment Support
  • Support installation and activation of sensing systems.
  • Assist the Field Operations Lead during deployment activities.
  • Troubleshoot integration and interoperability issues in the field.
  • Coordinate with field service personnel on equipment installation and configuration.
Force Protection Operations Support
  • Ensure sensor integration supports layered force protection concepts.
  • Support detection, tracking, classification, and alerting workflows.
  • Validate cross-cueing and multi-sensor correlation capabilities.
  • Optimize sensor performance to reduce false alarms and improve operational awareness.
Technical Troubleshooting
  • Diagnose integration and sensor performance issues.
  • Perform root cause analysis of hardware and software interface problems.
  • Coordinate corrective actions with engineering teams and OEMs.
  • Support rapid restoration of operational capability.
Risk Management
  • Identify technical integration risks.
  • Recommend mitigation strategies for interoperability and performance issues.
  • Support technical risk reviews and corrective action planning.
  • Maintain awareness of critical path integration activities.
Basic Qualifications
  • Bachelorโ€™s degree and 8 - 12 years of prior relevant experience or Masterโ€™s with 6 - 10 years of prior relevant experience.
  • Systems Engineering leadership on complex DoD programs and demonstrated experience in several of the following areas:
    • Electronic Warfare (EW) Systems
    • Counter-UAS (C-UAS) Technologies
    • Radar Integration
    • Electro-Optical / Infrared (EO/IR) Systems
    • LiDAR Technologies
    • Acoustic Detection Systems
    • Video Management Systems (VMS)
    • Command and Control (C2) Systems
    • Common Operating Picture (COP) Platforms
    • Multi-Sensor Fusion
    • Systems Integration & Interoperability
    • Active Army Installation or DoD Depot Operations
  • Ability to simplify complex technical issues and lead diverse technical teams in a dynamic, fast-paced environment.
  • Multi-vendor interoperability and interface management experience.
  • Operational test and evaluation experience.
  • Ability to communicate with executive leadership (internally or client) regarding matters of significant importance to the organization/project.
  • Bias for action and problem resolution and collaborative decision-maker.
  • Knowledge of agile development methodologies and management.
  • US citizenship and current secret clearance.
Preferred Qualifications
  • Physical security or force protection systems experience.
  • Experience supporting DoD programs involving integrated sensing technologies.
  • Experience working in active operational environments such as Army/DoD depots, arsenals, military installations, or operational test ranges.
  • Ability to obtain and maintain a DoD Secret security clearance (active clearance preferred).
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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