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Internship Gstreamer Jobs (NOW HIRING)

Valeo

Software Engineer

San Mateo, CA · On-site

$96K - $156K/yr

Mentoring of team members and interns What You Should Have: * Bachelor's degree in Electrical ... Preferred Experience with pipeline-based multimedia frameworks like Gstreamer * Experience with ...

Valeo

Software Engineer

San Mateo, CA · On-site

$96K - $156K/yr

Mentoring of team members and interns What You Should Have: * Bachelor's degree in Electrical ... Preferred Experience with pipeline-based multimedia frameworks like Gstreamer * Experience with ...

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Internship Gstreamer information

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$15

$21

How much do internship gstreamer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship gstreamer in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an Internship Gstreamer?

An Internship Gstreamer typically refers to an internship position focused on working with GStreamer, an open-source multimedia framework used for building audio and video processing pipelines. Interns in this role often contribute to the development, testing, or documentation of GStreamer plugins and applications. This position helps students or early-career professionals gain practical experience in multimedia software development, learn about audio/video streaming technologies, and collaborate with experienced developers in the open-source community. It's a valuable opportunity for those interested in software engineering, media technologies, and open-source contributions.

What are the key skills and qualifications needed to thrive as an Internship Gstreamer, and why are they important?

To thrive as a Gstreamer intern, you need a solid understanding of computer science fundamentals, multimedia frameworks, and programming languages such as C or Python, often supported by coursework or a related degree. Familiarity with GStreamer, Linux operating systems, and version control systems like Git is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns contribute and adapt quickly in collaborative environments. These skills are crucial for building practical solutions, integrating into development teams, and successfully delivering multimedia projects.

What types of projects or tasks can I expect to work on during a GStreamer internship?

As a GStreamer intern, you can expect to work on a variety of multimedia-related projects, such as developing plugins, improving pipeline performance, fixing bugs, and contributing to open-source repositories. You'll likely collaborate closely with experienced developers, participate in code reviews, and engage in testing and documentation efforts. This hands-on experience provides valuable exposure to real-world multimedia frameworks and helps you build both technical and teamwork skills.
More about Internship Gstreamer jobs
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Internship Gstreamer jobs near you
Infographic showing various Internship Gstreamer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 54% As Needed, 22% Full Time, 1% Contract, 13% Nights, and 9% Summer. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Palette Neat Application Development, Intern (AI2519)

SiMa Technologies

San Jose, CA • On-site

$36 - $40/hr

Temporary

Posted 29 days ago

Job description

Description
Job Title: Palette Neat Application Development, Intern
Job Location: San Jose, CA (Onsite)
Job ID: AI2519
Internship Term: Internship Term: Preferably starting in early July 2026 through end of August 2026.
Internship Stipend: The hourly pay rate range for this position is $36 - $46
ONSITE: This role requires the Intern to work from our San Jose, California office during the duration of the Internship.
At SiMa.ai, we are building the infrastructure that powers the next generation of Physical AI. Our platform, SiMa Modalix, enables developers and enterprises to deploy AI applications efficiently across robotics, drones, industrial automation, and intelligent edge systems.
We are looking for highly motivated students or recent graduates who are passionate about Physical AI, edge application development, AI pipelines, and developer tools.
Role Overview: As a Palette Neat Application Development Intern, you will work hands-on with SiMa.ai's Palette and Neat software stack to build real-world Physical AI applications targeting the SiMa Modalix platform. You will help create, validate, and optimize end-to-end AI applications that combine video, sensors, machine learning models, and multi-processor execution.
This role is ideal for candidates who enjoy building practical AI applications, working close to hardware, and turning models into deployable edge solutions.
You will:
  • Develop end-to-end Physical AI applications using Palette Neat, including video analytics, robotics, industrial inspection, and intelligent camera pipelines.
  • Build application examples that combine AI models, pre-processing, post-processing, media pipelines, and deployment workflows.
  • Work with Python, C++, GStreamer, and SiMa.ai tools to prototype and validate real-time AI applications on Modalix hardware.
  • Integrate neural network models into application pipelines and evaluate performance, latency, throughput, and correctness on edge devices.
  • Help create reference applications, demos, and developer-facing examples that show how customers can use Palette Neat effectively.
  • Debug application issues related to model integration, data formats, memory movement, runtime execution, and edge performance.
  • Work closely with Product and Engineering teams to improve developer experience, API usability, documentation, and application workflows.

Required Qualifications:
  • Recently graduated or nearing graduation, such as a rising senior, with a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
  • Strong programming skills in Python.
  • Familiarity with C++ and Linux development environments.
  • Basic understanding of machine learning models, computer vision, and AI application pipelines.
  • Strong debugging and problem-solving skills.
  • Excellent written and verbal communication skills.

Recommended / Preferred Qualifications:
  • Experience with OpenCV, GStreamer, or video processing pipelines.
  • Experience with PyTorch, ONNX, TensorFlow, or similar AI frameworks.
  • Hands-on exposure to embedded systems, robotics, cameras, or edge AI platforms.
  • Familiarity with Docker, Git, CI/CD workflows, or Linux command-line tools.
  • Interest in Physical AI, real-time AI applications, and developer-facing tools.

Personal Attributes:
  • Positive, can-do attitude with a willingness to learn.
  • Strong team player who collaborates effectively across functions.
  • Curious, creative, and passionate about solving complex problems.
  • Self-driven, execution-focused, and highly accountable.
  • Results-oriented with strong communication and interpersonal skills.

Equal Employment Opportunity:
SiMa.ai is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.

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