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Weekend Video Software Engineer Jobs (NOW HIRING)

Meta

Software Engineer, Video AI/ML Specialist

Bellevue, WA · On-site

$184K - $257K/yr

As a Video Software Engineer, you'll have the opportunity to work on a wide range of products, including Messenger, Video, Groups, News Feed, Search, AR/VR, and GenAI, building cutting-edge video ...

Whatnot

Software Engineer, Video

New York, NY · On-site

$190K - $260K/yr

As our next Video Engineer you should have: * 6+ years of software engineering experience. * Bachelor's degree in Computer Science, a related field, or equivalent work experience. * Experience with ...

Eluvio

Senior Software Engineer - Video

Berkeley, CA · On-site

$150K - $197.70K/yr

Eluvio is a highly-focused and ambitious team of systems/networking/application/video software engineers, data scientists, and security experts working together to implement the vision of the Content ...

Eluvio

Senior Software Engineer - Video

Berkeley, CA · On-site

$150K - $197.70K/yr

Eluvio is a highly-focused and ambitious team of systems/networking/application/video software engineers, data scientists, and security experts working together to implement the vision of the Content ...

Eluvio

Senior Software Engineer - Video

Berkeley, CA · On-site +1

$150K - $197.70K/yr

Eluvio is a highly-focused and ambitious team of systems/networking/application/video software engineers, data scientists, and security experts working together to implement the vision of the Content ...

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Weekend Video Software Engineer information

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$11K

$150K

$173.5K

How much do weekend video software engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for weekend video software engineer in the United States is $150,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $173,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Weekend Video Software Engineer jobs? Cities with the most Weekend Video Software Engineer job openings:
What are the most commonly searched types of Video Software Engineer jobs? The most popular types of Video Software Engineer jobs are:
What states have the most Weekend Video Software Engineer jobs? States with the most job openings for Weekend Video Software Engineer jobs include:
What job categories do people searching Weekend Video Software Engineer jobs look for? The top searched job categories for Weekend Video Software Engineer jobs are:
Weekend Video Software Engineer jobs near you
Infographic showing various Weekend Video Software Engineer job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 81% Physical, 10% Hybrid, and 9% Remote job distribution, with an average salary of $150,000 per year, or $72.1 per hour.
Software Engineer - Video Technology

Software Engineer - Video Technology

cosm

Pittsburgh, PA

Other

Posted 5 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.

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