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Video Codec Jobs (NOW HIRING)

PlayStation Global

Software Engineer II

San Mateo, CA · On-site

Design and develop video codec components for PlayStation SDKs and cloud gaming platforms. * Own end-to-end delivery of features, including design, implementation, and validation. * Perform system ...

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Software Engineer, Video

Menlo Park, CA

$154K/yr

Optimizing and improving video codec efficiency, encode rate control, speed, video, pre- and post-processing and error resilience * Debugging and diagnosing quality of end-to-end video experience on ...

Qualcomm

Video Design Verification Engineer

San Diego, CA · On-site

$99K - $149K/yr

Principal Duties and Responsibilities: • Applies Video and Computer Vision Engineering knowledge to assist in the research and development of video codec and computer vision HW. • Assists in the ...

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Software Engineer, Video

Bellevue, WA

$154K/yr

Optimizing and improving video codec efficiency, encode rate control, speed, video, pre- and post-processing and error resilience * Debugging and diagnosing quality of end-to-end video experience on ...

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Software Engineer, Video

New York, NY

$154K/yr

Optimizing and improving video codec efficiency, encode rate control, speed, video, pre- and post-processing and error resilience * Debugging and diagnosing quality of end-to-end video experience on ...

Qualcomm

Video DE Engineer

Santa Clara, CA · On-site

Leverages advanced video and computer vision engineering knowledge and experience, along with AI/ML hardware acceleration expertise, to research and develop complex video codec, computer vision, and ...

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Video Codec information

See salary details

$25K

$74.6K

$160.5K

How much do video codec jobs pay per year?

As of Jul 7, 2026, the average yearly pay for video codec in the United States is $74,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $94,500.00 per year, depending on experience, location, and employer.

What are video codecs?

Video codecs are software or hardware tools that compress and decompress digital video files. They reduce the size of video files for storage or transmission by removing redundant data, making it easier and faster to stream or download videos. Common video codecs include H.264, H.265 (HEVC), VP9, and AV1. The choice of codec can affect video quality, compatibility, and file size.

What is the difference between Video Codec vs Video Editor?

AspectVideo CodecVideo Editor
Required CredentialsKnowledge of codecs, technical certifications (e.g., CCNA, Adobe certifications)Video editing software proficiency, creative skills, possibly certifications in editing (e.g., Adobe Certified Expert)
Work EnvironmentTechnical, often in post-production or streaming settingsCreative, in editing suites or on-location
Industry UsageUsed by video streaming, broadcasting, and production companiesUsed by film, TV, advertising, and online content creators

Video Codec and Video Editor roles overlap in the video production industry but focus on different aspects. Video codecs are technical tools used to compress and decompress video data, essential for efficient storage and transmission. Video editors, on the other hand, focus on assembling and enhancing video footage to create the final product. Understanding codecs is crucial for editors to optimize video quality and compatibility, but their primary responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Video Codec Engineer, and why are they important?

To thrive as a Video Codec Engineer, you need strong programming skills (especially in C/C++), a deep understanding of video compression algorithms, and a relevant degree in computer science or electrical engineering. Familiarity with industry standards like H.264, H.265 (HEVC), or AV1, as well as experience with multimedia frameworks and debugging tools, is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills that enable success in this technical and collaborative environment. These competencies are essential for developing efficient, high-quality video solutions that meet modern streaming and broadcasting demands.

What are some common challenges faced by professionals working in video codec development and optimization?

Professionals in video codec development often encounter challenges such as balancing compression efficiency with computational complexity, ensuring compatibility across diverse hardware and software environments, and keeping up with rapidly evolving standards. Additionally, debugging and optimizing codecs for real-time applications, like streaming or conferencing, requires close collaboration with cross-functional teams including hardware engineers and software developers. Staying updated on the latest advancements and performance benchmarks is crucial for success in this fast-paced field.
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Video Codec jobs near you
Software Engineer - Video Technology

Software Engineer - Video Technology

cosm

Pittsburgh, PA • On-site

Other

Re-posted 12 days ago

Job description

Summary:

The Video Software Engineer is responsible for developing, optimizing, and maintaining C360’s real-time video pipeline, which powers mission-critical services for our broadcast, league, and streaming partners. This role contributes to the full lifecycle of a cutting-edge video platform, from architecture and development through deployment and operational support, while working across the video processing stack, including real-time image processing, accelerated decoding and encoding, and video transport technologies. The ideal candidate is a solutions-oriented engineer who thrives in fast-paced environments while maintaining a high standard of engineering excellence. They bring experience across the software development lifecycle, understand how to select the right technologies for the problem at hand, and ideally have familiarity with the sports, broadcast, streaming media, and cloud software industries. Success in this role requires strong collaboration skills, adaptability, and the ability to work effectively within an agile, cross-functional engineering team.

Responsibilities:

  • Collaborate within an agile team to build and deploy distributed, robust, low-latency video pipelines for both on-premises and cloud deployment.
  • Participate in architectural, design, and product sessions
  • Stay on top of industry trends and emerging technologies
  • Exemplify excellent written and verbal communication skills and the ability to tailor
    technical communications to any audience deftly
  • Push the limits, try new technologies, take calculated risks, swing for the fences, and proactively search for the best solutions and ideas in the marketplace
  • Occasionally offer on-call support to field teams (evenings and weekends)
  • Accurately document work, both in code and schematic form

Experience:

  • BS degree or higher in Computer Science, Electrical / Computer Engineering, Software Engineering or the equivalent.
  • Experience with both Windows 10/11 64-bit and Linux development environments
  • Significant experience in C++ and Rust
  • Knowledge of AWS cloud services/tooling and technology (S3, EC2, etc.)
  • Knowledge of multimedia frameworks, such as GStreamer
  • Knowledge of video codecs, with a main focus on HEVC, as well as an understanding of streaming technologies and transports (e.g., MPEG-TS, SRT, HLS, webRTC)
  • Expertise in mission-critical, high-availability hardware/software
  • Knowledge of NVIDIA GPU ecosystem, including CUDA and the NVIDIA Video Codec SDK
  • Knowledge of SMPTE broadcast standards and technologies
  • Video/Image processing knowledge, demosaicing, denoising, color space conversion, image enhancement
  • Experience working with agile methodologies
  • Knowledge of best practices for code management, version control, and deployment
  • You possess the ability to work autonomously, but also as part of a team.
  • You can quickly shift work priorities to accommodate client needs.

Bonus Experience:

  • Experience with Python or C#
  • Experience with MongoDB
  • Experience designing, deploying, and maintaining cloud-based workflows
  • Knowledge of AI/ML methods for video enhancement
  • Knowledge of machine vision standards and transports
  • Familiarity with ZMQ or other message bus (e.g., Kafka) software
  • General knowledge of camera technology
  • Knowledge of broadcast tools such as vector scopes, RCP/CCU
  • Experience with OEM SDI output cards and APIs from AJA, Blackmagic Design, etc.

Apply