Senior Scientist – Sonar Signal Processing (Req 313)
Job Summary
Applied Physical Sciences (APS) is seeking a Senior Scientist – Sonar Signal Processing to join their team. The role involves designing, implementing, and optimizing signal processing algorithms for active/passive sonar systems, collaborating with multidisciplinary teams, and guiding junior engineers.
Job Functions and Responsibilities
- Design, implement, and optimize signal processing algorithms for active/passive sonar (beamforming, matched filtering, CFAR, DOA/TMA, adaptive noise cancellation, multi-target tracking, clutter suppression, reverberation mitigation)
- Develop array processing architectures (planar, conformal, towed arrays) including beamspace, subspace, and adaptive techniques (MVDR, LCMV, etc.)
- Construct and validate end-to-end sonar performance models (SNR budgets, reverberation-limited regimes, ROC analysis)
- Decompose system requirements, create processing architectures and interfaces, and support design reviews (SRR/PDR/CDR)
- Provide technical guidance, peer reviews, and design leadership; set best practices in signal processing and embedded optimization
- Collaborate with cross-functional engineering teams to integrate signal processing components into embedded, real time, or distributed sonar systems
- Plan and execute lake and sea trials, conduct acceptance testing, analyze test logs, and iterate designs based on findings
- Validate algorithms through simulation, lab testing, and data analysis, ensuring alignment with system requirements and operational use cases
- Define processing requirements & interfaces for real-time and embedded pipelines; collaborate with firmware/software for implementation
- Support sensor/array selection, transducer parameters, and front-end analog/digital chain trades (sampling, dynamic range, quantization)
- Document and present results to various peer-review and working groups
Required Skills and Attributes
- B.S., M.S., or PhD in Electrical Engineering, Computer Engineering, Data Science, Applied Mathematics, or Signal Processing
- Five or more years of relevant experience
- An understanding of and demonstrated proficiency in the areas of sonar signal processing, such as detection and estimation theory, digital signal processing, probability and statistics, spectral analysis, communications, and underwater acoustics
- Demonstrated experience presenting program updates, analyses, or technical material to sponsors, customers, and technical working groups
- Occasional travel required, typically less than 10%
- Active security clearance or the ability to obtain one (Secret or higher)
Preferred Skills and Attributes
- Prior experience with algorithm development, implementation, and analysis for complex signal processing applications
- Proficiency in MATLAB, C/C++, Python
- Experience with Target Tracking & Detection Theory
- Gitlab or similar experience
- Experience in machine learning techniques applied to signal processing
- Familiarity with embedded system constraints (latency, power, quantization) at a requirements and design-analysis level
- Experience supporting the development of technical proposals and related documentation
- Demonstrated experience analyzing real-world acoustic or sonar data
- Ability and willingness to participate in occasional at-sea test events
Location
On site in Groton, CT or Concord, MA
Company Information
APS, a wholly owned subsidiary of the General Dynamics Corporation, offers competitive salaries, excellent benefits, and comfortable working conditions. Candidates must possess or be able to obtain a DoD security clearance. Please note, obtaining a security clearance is a condition of employment which typically requires US citizenship and a thorough background investigation.
Equal Opportunity Employer
We are an equal opportunity employer. Applicants are considered for positions without regard to veteran status, uniformed service member status, gender, marital status, race, color, religion, sexual orientation, national origin, age, physical or mental disability, genetic information or any other category protected by applicable federal, state, or local laws.