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Sensor Fusion Engineer Jobs in Washington (NOW HIRING)

NCSL International

Sensor Integration Engineer

Reston, VA · On-site

$110 - $160/hr

Support sensor-to-COP integration and data fusion activities. * Validate interoperability between ... Coordinate sensor configuration with software and systems engineering teams. Operational Testing ...

Quidient

SLAM Engineer

Columbia, MD

$175K - $230K/yr

What You'll DoReal-time SLAM & Sensor Fusion * Develop and advance our on-device visual-inertial ... Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong ...

AMERICAN SYSTEMS

C/C++ Software Engineer

Mclean, VA

$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 ...

AMERICAN SYSTEMS

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.

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

What You'll Do Real-time SLAM & Sensor Fusion * Develop and advance our on-device visual-inertial ... Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong ...

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Sensor Fusion Engineer information

See Washington salary details

$46.4K

$100.7K

$155.7K

How much do sensor fusion engineer jobs pay per year?

As of Aug 24, 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 a sensor fusion engineer?

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 does a sensor fusion engineer do?

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 skills and qualifications are needed to be a sensor fusion engineer?

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 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:

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

The top searched job categories for Sensor Fusion Engineer jobs in Washington are:

What cities in Washington are hiring for Sensor Fusion Engineer jobs?

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Sensor Fusion Engineer jobs near you
Infographic showing various Sensor Fusion Engineer job openings in Washington as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,683 per year, or $48.4 per hour.

Lead AI Engineer (Computer Vision & Fusion)

Washington, DC • On-site

Oslitandi Tech LLC
See more jobs at Oslitandi Tech LLCexternal

$115K - $152K/yr

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Oslitandi Tech LLC is focused on unifying sustainable technology solutions for clients. They are seeking a Lead AI Engineer to create core AI capabilities, architect deep learning models, and develop advanced sensor fusion algorithms for critical operations.
Responsibilities:
• Architect, design, and train advanced deep neural networks (e.g., CNNs, Transformers, R-CNN variants) specifically optimized for object detection, classification, and tracking across multi-modal sensor inputs (e.g., High-resolution Optical, SAR, Radar).
• Lead the development and implementation of advanced sensor fusion algorithms, including extended and unscented Kalman Filtering and particle filters, to reliably correlate and maintain track continuity from disparate, asynchronous data sources (e.g., Radar + Electro-Optical/IR + ADS-B).
• Conduct model optimization, pruning, and quantization techniques to achieve ultra-low-latency inference (sub-10ms) required for deployment on specialized, resource-constrained edge compute hardware.
• Work directly with forensic data scientists to conceptualize and develop tooling to generate high-fidelity synthetic training scenarios to effectively address data sparsity for rare, critical threat events.
• Oversee the model experimentation, versioning, quality assurance (QA), and transition process into the MLOps pipeline maintained by the DevSecOps team.
• Manage multiple, concurrent AI research and development assignments, providing technical guidance, code review, and mentorship to junior engineers within the AI/ML Squad.
Qualifications:
Required:
• A minimum of 7+ years of progressive experience in Machine Learning, AI research, or applied data science.
• At least 3+ years dedicated experience in the fields of Computer Vision, Object Detection/Tracking, or Multi-Sensor Fusion.
• Expert-level proficiency in Python and deep learning frameworks: PyTorch (preferred) or TensorFlow.
• Demonstrated practical experience utilizing specific detection methodologies (e.g., YOLO family, Faster R-CNN) and/or classical tracking methods (e.g., Kalman Filtering).
• Proficiency in containerization technologies, specifically Docker, for reproducible development and deployment environments.
• Experience with forensic data analysis, data labeling processes, and generating synthetic data for specialized training use cases.
• The candidate shall have a Master's or PhD in Computer Science, AI, Mathematics, or a related quantitative field.
• Must be eligible for a U.S. Government TS/SCI Clearance.
Company:
Our company works with clients to achieve their tactical and strategic goals by unifying sustainable technology solutions which reduce costs, decrease cycle times, and seamlessly manage processes throughout the enterprise. Founded in , the company is headquartered in Washington, USA, with a team of 2-10 employees. The company is currently Early Stage.

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