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Internship Signal Processing Engineer Jobs in Cranston, RI

Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, or related field. * Academic or internship experience in digital signal processing, acoustics, or a ...

Support the development of real-time signal processing systems and acoustic data processing ... Software Engineering * Develop, modify, test, and maintain software applications supporting ...

... signals processing,avionics, and testing. Responsibilities: * Collaborate with cross-functional teamsto support the design, development, and implementation of engineering projects. * Assist in the ...

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Internship Signal Processing Engineer information

See Cranston, RI salary details

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How much do internship signal processing engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for internship signal processing engineer in Cranston, RI is $21.70, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.38 per hour, depending on experience, location, and employer.

What does an internship signal processing engineer do?

An Internship Signal Processing Engineer assists in designing, analyzing, and implementing algorithms that process signals such as audio, images, or sensor data. They typically work under the supervision of experienced engineers, supporting projects involving data collection, filtering, feature extraction, and performance evaluation. Interns may use tools like MATLAB, Python, or C++ to develop and test digital signal processing (DSP) solutions. The role provides hands-on experience in applying theoretical knowledge to real-world engineering problems and often includes collaboration with multidisciplinary teams.

What types of projects do internship signal processing engineers typically work on, and how do they collaborate with senior team members?

Internship Signal Processing Engineers often work on real-world projects such as developing algorithms for audio, image, or communication signal processing, and analyzing large datasets to improve existing systems. Interns usually collaborate closely with senior engineers and researchers, who provide mentorship and guidance throughout the design, implementation, and testing phases. Regular team meetings and code reviews are common, creating an environment where interns can learn industry best practices and receive constructive feedback. This structure helps interns build both technical and teamwork skills, laying a strong foundation for future career advancement.

What are the key skills and qualifications needed to thrive as an internship signal processing engineer, and why are they important?

To thrive as an Internship Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming skills, often supported by progress toward a relevant engineering degree. Familiarity with MATLAB, Python, and signal processing libraries, as well as basic experience with simulation or hardware tools, is typically expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for this role. These skills enable interns to contribute to technical projects, solve complex problems, and collaborate efficiently in engineering environments.

Senior Acoustic Signal Processing Engineer

Vatn Systems

Bristol, RI • On-site

$109K - $149K/yr

Full-time

Re-posted 13 days ago


Job description

About Vatn Systems:
Vatn Systems is an innovative startup at the forefront of designing and manufacturing autonomous underwater vehicles (AUVs). Our mission is to revolutionize underwater security, exploration, research, and operations through cutting-edge technology and unparalleled engineering. Our AUVs are defining the next generation of underwater autonomy
As a Senior Acoustic Signal Processing Engineer, you will join a fast paced and brilliant development team building the next generation of forward looking sonar systems for VATN underwater vehicles. You will be a key technical contributor to the foundational development of detection, classification, localization, and tracking (DCLT) algorithms. You will have the opportunity to test your algorithms and analysis products against realworld data often.
Your core responsibilities will include:
1. Algorithm development & refinement of existing algorithms for forward looking sonar products
  • System Hardening: Analyze realworld data to improve robustness against complex acoustic environments.
  • Algorithms Improvement: Propose and implement improvements to the homing system and target management framework to increase mission reliability. Develop automated data analysis pipelines from data collect to metrics reporting
  • DCLT Algorithm Implementation: Develop detection, classification, localization, and tracking algorithms

2. Implementation & Edge Optimization
  • Edge Deployment: Translate high-level algorithms into prototypes into efficient, real-time code optimized for deployment on embedded edge-compute hardware.

3. Modeling & performance validation
  • Support in-water development and in-water integration testing of the homing system
    • Work with key stakeholders - internal and external (government) - to translate mission CONOPS and requirements to robust testing programs to validate homing performance
  • Develop detailed sonar equation models of active and passive acoustic devices and systems for internal/external project support.

Preferred:
  • Prior engineering experience directly contributing to design or analysis of radar, sonar, and electronic warfare systems
  • Demonstrated knowledge of statistical signal processing, tracking algorithms, acoustic signal processing and machine learning
  • Working knowledge of machine learning techniques
  • Demonstrated programming experience: MATLAB, Python, C/C++
  • Unix / Commandline Skills

Strongly Preferred:
  • Secret clearance

Vatn is an equal opportunity employer, and we welcome candidates from all backgrounds to apply. We look forward to reviewing your application and potentially having you join our team in shaping the future of autonomous underwater exploration.