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Job description
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.
Responsibilities
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 scientists, hardware and software engineers, to translate acoustics domain expertise into operational products.
Design and conduct field experiments, at-sea data collection, data analyses, and modeling and simulation studies (including propagation and detection-performance modeling) to evaluate acoustic system performance under realistic ocean conditions.
Help define product requirements, technical roadmaps, and priorities for new underwater acoustic capabilities.
Represent Sofar externally with customers, research partners, government agencies, and the broader ocean acoustics community.
Minimum Job Qualifications
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
Experience translating scientific research into operational products or customer-facing capabilities
Ph.D. in acoustics, ocean engineering, electrical engineering, applied physics, oceanography, or a related field, but we will consider highly qualified candidates of any education level with equivalent experience
Strong reputation within the ocean acoustics community, with experience leading externally funded research programs or strategic technical partnerships.
Enthusiasm and experience in leveraging LLMs to magnify personal impact
This position requires the ability to obtain and maintain a U.S. government security clearance. Under U.S. law, only U.S. citizens are eligible to obtain a security clearance.
Bonus Points
Familiarity with embedded sensing systems, firmware constraints, or edge processing for acoustic applications
Familiarity with the constraints of autonomous ocean platforms, including limited power, bandwidth, onboard compute, sensor calibration, and long-duration deployments.
Comfort working in production codebases when necessary to personally deliver changes.
Estimated Salary Range
$137,000 - $185,000
The range listed is what we reasonably expect to pay for this role at the time of this posting. We may ultimately pay more or less than the posted range and may be modified in the future. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, experience, and equity package.
About Working at Sofar:
Hybrid work: We're a hands-on team building hardware and software that operates in the real world — so being together matters. We ask that most team members are in office at least 70% of the time, though some roles (like field technicians or hardware engineering) may require more. Fully remote roles are designated as such in the job posting.
Visa sponsorship: We do sponsor visas and retain an immigration lawyer to support the process. While we can't guarantee sponsorship for every role or situation, if we make you an offer, we'll make every reasonable effort to make it work.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.