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.

Requirements

Must-haves

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
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.
Experience with Python or C#
Experience with MongoDB
Experience designing, deploying, and maintaining cloud-based workflows

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agilerustawspythonaiml

Platform: dayforce
Effort: medium

Benefits

Benefits detected in the listing.

Vision