Washington DC area, hybrid, or US remote

$145,000 to $185,000

US Citizenship Required, Active Clearance Preferred

A cutting-edge defense technology organisation is seeking a Senior Sensor Fusion & Algorithm Engineer to help turn complex, high-noise sensor data into actionable intelligence.

This role sits at the intersection of physics, advanced signal processing, and machine learning. You will play a key part in developing high-fidelity models that power next-generation space and missile defense systems.

If you thrive in high-stakes environments where performance, precision, and real-time decision making matter, this could be a strong fit.

What You Will Be Doing

• Designing and deploying multi-sensor fusion architectures to create a unified, real-time common operating picture from heterogeneous, high-cadence data streams
• Implementing techniques such as Kalman Filtering, Bayesian estimation, and statistical signal processing
• Applying advanced DSP methods to extract weak signatures in high-noise environments prior to ML ingestion
• Translating complex physics-based systems into ML-augmented solutions in collaboration with cross-functional engineering teams
• Building and integrating numerical simulations of physical systems, including orbital mechanics and aerodynamics, with machine learning models
• Optimising models for low-latency, real-time deployment across specialised defense hardware and cloud environments

What We Are Looking For

• 3+ years of experience in Engineering or Applied Physics within Aerospace and Defense
• Strong foundation in Kalman Filtering, Bayesian methods, and statistical signal processing
• Experience building numerical or machine learning models of physical systems using large, complex datasets
• Hands-on experience developing ML models for time-series and sensor data using frameworks such as PyTorch, TensorFlow, or JAX
• Strong data engineering capability including feature engineering, data augmentation, and signal conditioning
• Experience taking advanced models from research environments into live, mission-critical production systems

Nice to Have

• MS or PhD in Electrical Engineering, Aerospace Engineering, or Applied Physics
• Experience with Physics-Informed Neural Networks or Neural Operators
• Background in Space Domain Awareness or Missile Defense applications
• Familiarity with real-time data processing frameworks such as Spark or Kafka and deployment using Kubernetes

Why Apply?

You will be joining a mission-driven team working on some of the most technically challenging problems in modern defense. The work directly supports national security priorities and requires a high level of technical ownership and innovation.

This is an opportunity to operate at the cutting edge of sensor fusion, physics-based modelling, and machine learning in real-world, high-impact environments.