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Internship Signal Processing Engineer Jobs in Colorado

Cymertek Corporation

Signals Software Engineer

Aurora, CO · On-site

$100 - $140/hr

Signals Software Engineer We are seeking a talented and innovative **Signals Software Engineer** to ... The ideal candidate has a strong foundation in signal processing concepts, is proficient in ...

Cymertek

Signals Software Engineer

Aurora, CO · On-site

Signals Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... The ideal candidate has a strong foundation in signal processing concepts, is proficient in ...

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Internship Signal Processing Engineer information

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.

What cities in Colorado are hiring for Internship Signal Processing Engineer jobs?

Cities in Colorado with the most Internship Signal Processing Engineer job openings:

Internship Signal Processing Engineer jobs near you

Software Signal Processing Engineer with Security Clearance

Colorado Springs, CO • On-site

ALKU
Recruiting and Staffing Services • 51 - 200 employees
Learn more about ALKUexternal

Other

Posted 5 days ago

Job description

Software Signal Processing Engineer Program Description: Our client is prime on a program that will field a resilient ground-based radar system providing our nation with significantly enhanced space domain awareness for geostationary orbit. They are looking to bring on a Software signal processing engineer immediately.
Day to Day Responsibilities: Design, develop, test, and optimize software applications supporting advanced digital signal processing (DSP) capabilities for RF sensing and tracking systems.
Develop, implement, and refine signal processing algorithms for detection, estimation, calibration, filtering, FFT analysis, peak detection, and target characterization.
Apply theoretical signal processing principles to solve complex engineering challenges involving RF data, sensor calibration, range/range-rate estimation, orbital tracking, sensor coupling, and signals of opportunity.
Collaborate with software, systems, RF, hardware, and algorithm engineers to integrate signal processing solutions into operational software systems.
Develop high-performance software using GPU acceleration techniques (CUDA, NVIDIA MatX, parallel computing) for computationally intensive signal processing workloads.
Analyze system performance, validate algorithm effectiveness, troubleshoot signal anomalies, and optimize processing pipelines.
Support software development throughout the full engineering lifecycle including design, implementation, testing, verification, documentation, and deployment.
Leverage AI-assisted engineering tools to improve software development efficiency while maintaining full engineering ownership and technical review of generated code.

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