Sensor Fusion Engineer

Benefits

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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About this role

Sensor Fusion Engineer Morocco About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role As a Sensor Fusion Engineer, you will adapt, tune, and validate our core sensor-fusion capability to work seamlessly with new and third-party sensor systems. Sitting within our product and engineering team, your mission is to turn raw sensor data into an accurate, coherent track picture as our systems incorporate additional sensors over time. This is an applied, field-willing engineering role. You will work hand-in-hand with our Integration Software Engineers (who deliver the sensor feeds) and support the deployment team for episodic, on-site tuning and validation against real-world sensor data. Durable fusion improvements you develop will flow directly back into our core product baseline. Responsibilities - Fusion Adaptation: Adapt existing sensor-fusion capabilities-including track correlation, data association, filtering/estimation, and track management-to accommodate new and third-party sensor characteristics. - Sensor Characterization: Analyze real-world sensor data to thoroughly understand its behavior, utilizing these insights to inform and refine fusion parameters and models. - Tuning & Optimization: Fine-tune fusion performance within specific operational contexts,

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