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Internship Audio Software Developer Jobs in Pennsylvania

Stevens Capital Management LP

Developer Internship

Radnor, PA · On-site

$17.25 - $22.75/hr

Develop new software and enhance existing systems. * Create tools to process, store and analyze ... Work closely with our traders, quantitative research analysts, implementation programmers and other ...

Cmu

AI Security Software Engineer

Pittsburgh, PA · On-site +1

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of ... audio analysis) * Experience and knowledge in cybersecurity best practices * Demonstrated ability ...

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Internship Audio Software Developer information

What does an internship audio software developer do?

An Internship Audio Software Developer assists in designing, coding, and testing software related to audio processing, editing, or generation. Their responsibilities may include working with audio plugins, digital signal processing (DSP), and integrating audio features into applications. Interns often collaborate with senior developers, learn industry-standard tools, and help troubleshoot bugs in audio software. This role provides hands-on experience in both software development and audio engineering, preparing interns for future careers in the field.

What types of projects do internship audio software developers typically work on, and how do these projects contribute to their learning experience?

Internship Audio Software Developers often assist in developing, testing, and debugging audio plugins, digital signal processing tools, or music software applications. They may work on tasks like optimizing audio algorithms, improving user interfaces, or integrating third-party libraries. These projects allow interns to gain practical experience with industry-standard tools, collaborate closely with experienced engineers, and receive constructive feedback on their code. This hands-on exposure helps interns build a strong technical foundation and prepares them for more advanced roles in audio software development.

What are the key skills and qualifications needed to thrive as an internship audio software developer, and why are they important?

To thrive as an Internship Audio Software Developer, you generally need a solid foundation in programming (often C++ or Java), digital signal processing (DSP) concepts, and a relevant academic background in computer science or audio engineering. Familiarity with audio development frameworks like JUCE, DAW integration, and version control systems such as Git is typically expected. Strong problem-solving skills, creativity, and the ability to collaborate effectively are standout soft skills in this role. These competencies are crucial for building reliable audio applications, innovating audio solutions, and contributing meaningfully to technical teams.

What are the most commonly searched types of Audio Software Developer jobs in Pennsylvania?

The most popular types of Audio Software Developer jobs in Pennsylvania are:

What are popular job titles related to Internship Audio Software Developer jobs in Pennsylvania?

For Internship Audio Software Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Internship Audio Software Developer jobs in Pennsylvania look for?

The top searched job categories for Internship Audio Software Developer jobs in Pennsylvania are:

Internship Audio Software Developer jobs near you

AI Security Software Engineer

Software Engineering Institute | Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Carnegie Mellon University's Software Engineering Institute is seeking an AI Security Software Engineer to advance cybersecurity research and the resilience of software systems. The role involves developing machine learning-based prototypes and collaborating with researchers to address AI security challenges.
Responsibilities:
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Qualifications:
Required:
• BS in computer science, machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in the same fields with two (2) years of experience
• Understanding of software engineering principles and system design
• Experience with containerization and microservices architectures
• Travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%)
• You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance
• Develop machine learning–based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
• Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
• Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
• Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
• Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
• Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team
Preferred:
• Experience applying statistical modeling and advanced data analytics techniques
• Background in developing AI/ML solutions in real-world settings
• Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
• Experience and knowledge in cybersecurity best practices
• Demonstrated ability to quickly learn and adapt to new technologies and domains
Company:
We conduct cutting-edge research and development that accelerates the transition of technology to the Department of War (DoW), delivering measurable impact in support of the national security mission. Founded in 1984, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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