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On Call Video Codec Engineer Jobs (NOW HIRING)

Minimum 6+ years' experience, ASIC Verification, Video Codec experience. Skill Sets: System Verilog UVM, video codec/processing, H.265, H.264, HEVC Required: * Candidate to be part of the ...

Principal Duties and Responsibilities: • Leverages advanced Video and Computer Vision Engineering knowledge and experience to research and develop critical video codec and computer vision HW. • ...

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 ...

Understanding of video codec such as VP8, VP9, H264/265 etc. * Comfortable with GPU programming At Nuro, your base pay is one part of your total compensation package. For this position, the ...

Understanding of video codec such as VP8, VP9, H264/265 etc. * Comfortable with GPU programming At Nuro, your base pay is one part of your total compensation package. For this position, the ...

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On Call Video Codec Engineer information

See salary details

$30.5K

$88.3K

$139.5K

How much do on call video codec engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for on call video codec engineer in the United States is $88,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between On Call Video Codec Engineer vs Video Compression Specialist?

AspectOn Call Video Codec EngineerVideo Compression Specialist
Required CredentialsBachelor's in Computer Science or Electrical Engineering, certifications in video codecs (e.g., H.264, H.265)Similar credentials, often with specialized training in video compression algorithms
Work EnvironmentTechnical support, troubleshooting, real-time problem resolution, often on-callResearch, development, optimization of compression algorithms, less on-call
Employer & Industry UsageTelecommunications, streaming services, broadcasting companiesMedia technology firms, research labs, codec development companies

While both roles require expertise in video codecs and similar certifications, the On Call Video Codec Engineer primarily focuses on real-time troubleshooting and support, often working on-call to resolve urgent issues. In contrast, the Video Compression Specialist concentrates on developing and optimizing compression algorithms, with less emphasis on immediate support tasks.

More about On Call Video Codec Engineer jobs
What are the most commonly searched types of Video Codec Engineer jobs? The most popular types of Video Codec Engineer jobs are:
What job categories do people searching On Call Video Codec Engineer jobs look for? The top searched job categories for On Call Video Codec Engineer jobs are:
Infographic showing various On Call Video Codec Engineer job openings in the United States as of May 2026, with employment types broken down into 7% As Needed, 41% Full Time, 1% Part Time, 4% Temporary, 45% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $88,303 per year, or $42.5 per hour.
Software Engineer - Video Technology

Software Engineer - Video Technology

cosm

Pittsburgh, PA • On-site

Other

Posted 10 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.