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Internship Sensor Fusion Engineer Jobs in Washington

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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Internship Sensor Fusion Engineer information

What is the difference between Internship Sensor Fusion Engineer vs Sensor Data Analyst?

AspectInternship Sensor Fusion EngineerSensor Data Analyst
Required CredentialsEnrolled in or recent graduate of Electrical Engineering, Computer Science, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, automotive, robotics, or aerospace companiesData analysis teams in tech, automotive, or manufacturing industries
Employer & Industry UsageUsed in autonomous vehicles, robotics, aerospace projectsUsed in data-driven decision making, quality control, and product development

The Internship Sensor Fusion Engineer role focuses on developing algorithms that combine data from multiple sensors for applications like autonomous vehicles and robotics. In contrast, a Sensor Data Analyst interprets sensor data to generate insights, often supporting quality control or product optimization. Both roles require analytical skills but differ in technical focus and industry application.

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:
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What cities in Washington are hiring for Internship Sensor Fusion Engineer jobs? Cities in Washington with the most Internship Sensor Fusion Engineer job openings:

Lead AI Engineer (Computer Vision & Fusion)

Oslitandi Tech LLC

Washington, DC • On-site

$115K - $152K/yr

Full-time

Re-posted 25 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.