Real-Time Signal Processing Engineer – Acoustics

Kongsberg Discovery; New Jersey; On-site; USD 90,000 - 130,000; Full time

Job summary

Kongsberg Discovery is expanding its Software Development team to build advanced monitoring and sensing solutions for commercial and naval applications. The Software Engineer Signal Processing will contribute to real-time and offline signal processing software, including beamforming, array processing, and source localization, using MATLAB, Python, C/C++, and C#.

You will work with data from acoustic sensors and collaborate with engineers across hardware and systems domains.

Qualifications

• Master's degree in a relevant field (signal processing, EE, math, CS).
• Strong theoretical foundation in signal processing topics (FFT, filtering, time-frequency analysis, detection, estimation, spectral analysis).
• Experience with C#, .NET, C/C++, Python in software development contexts (academic projects, internships, theses).
• Interest in signal processing, acoustics, sensor systems, and real-world monitoring applications.
• Familiarity with Linux-based development environments and collaboration in teams.

Responsibilities

• Design, develop, and maintain signal processing algorithms for real-time and offline applications.
• Develop and optimize beamforming, array processing, and source localization algorithms.
• Implement algorithms in production-grade software and work with acoustic sensor data (filtering, spectral analysis, detection, localization, tracking).
• Collaborate with hardware and systems engineers to ensure end-to-end system performance and participate in software architecture reviews.

Skills

C/C++

Python

C#

.NET

Education

Master's degree in Signal Processing, Electrical Engineering, Applied Mathematics, Computer Science, or related field

Tools

MATLAB

Git

CI/CD pipelines

Job description

Kongsberg Discovery is expanding its Software Development team to build advanced monitoring and sensing solutions for commercial and naval applications. The Software Engineer Signal Processing will contribute to real-time and offline signal processing software, including beamforming, array processing, and source localization, using MATLAB, Python, C/C++, and C#.

You will work with data from acoustic sensors and collaborate with engineers across hardware and systems domains.