Sofar Ocean is the leading ocean intelligence platform, closing the data gap for better predictability and outcomes. Backed by USV.
About the role
Sofar designs, builds, and deploys ocean sensing networks at a global scale to power ocean intelligence. We are expanding our sensing and intelligence capabilities into underwater acoustics and looking for a world-class expert in ocean acoustics to set the technical product vision for Sofar’s underwater acoustics platform. Lead Sofar’s underwater acoustics strategy, defining the technical vision for an underwater acoustics platform that supports real-world marine applications.
What they're looking for
- Deep expertise in underwater acoustics
- Practical experience developing acoustic sensing systems or algorithms for detection, classification, localization, mapping, or environmental characterization
- Strong understanding of marine acoustic propagation, ambient noise, signal processing, and the practical constraints of ocean sensing in the real world
- Experience working with real-world acoustic datasets, field deployments, and/or operational sensing systems
- Experience applying statistical signal processing, machine learning, or modern AI methods to acoustic detection, classification, or environmental inference
- Excellent communication skills, and you excel working in a cross-functional team
More about this role
Sofar designs, builds, and deploys ocean sensing networks at a global scale to power ocean intelligence. We are expanding our sensing and intelligence capabilities into underwater acoustics and looking for a world-class expert in ocean acoustics to set the technical product vision for Sofar’s underwater acoustics platform.
Lead Sofar’s underwater acoustics strategy, defining the technical vision for an underwater acoustics platform that supports real-world marine applications.
Develop capabilities to detect, classify, localize, and track acoustic sources and targets using passive and/or active techniques.
Drive AI/ML model development for edge-based and cloud-based acoustic intelligence models.
Advance methods for mapping and characterizing the ocean soundscape—including ambient noise fields, acoustic propagation conditions (e.g., sound-speed structure and transmission loss), and the oceanographic and geoacoustic context that drives them.
Provide an acoustics-centric perspective on sensing system design—including hydrophone/array selection, calibration, and geometry—as well as deployment strategy, data quality, and performance validation.
Collaborate with Sofar’s ocean and sensing...
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