Senior Video Engineer Software Engineer - Remote - USA

About the role

We are seeking an experienced Video Software Engineer to help develop, optimize, and maintain a cutting-edge real-time video platform that powers mission-critical services for broadcast, sports, league, and streaming partners.

Responsibilities

• Design, develop, and deploy distributed, low-latency video processing pipelines for cloud and on-premises environments.
• Develop and optimize real-time video processing solutions, including encoding, decoding, transport, and image enhancement workflows.
• Evaluate and implement emerging technologies and industry best practices to improve platform performance and scalability.
• Provide occasional on-call support for field operations, including evenings and weekends when necessary.
• Maintain accurate technical documentation, including code, architecture diagrams, and operational procedures.
• Collaborate with cross-functional engineering teams in an agile development environment.

Requirements

• Bachelor's degree or higher in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related field (or equivalent practical experience).
• Significant professional experience developing software in both C++ and Rust.
• Experience working within Windows 10/11 (64-bit) and Linux development environments.
• Strong knowledge of AWS cloud services and infrastructure, including services such as S3 and EC2.
• Experience with multimedia frameworks such as GStreamer.
• Deep understanding of video codecs, particularly HEVC, and streaming technologies including MPEG-TS, SRT, HLS, and WebRTC.
• Knowledge of NVIDIA GPU technologies, including CUDA and the NVIDIA Video Codec SDK.
• Familiarity with SMPTE broadcast standards and technologies.
• Strong understanding of video and image processing techniques, including demosaicing, denoising, color space conversion, and image enhancement.
• Knowledge of software development best practices, including version control, code management, testing, and deployment processes.
• Ability to adapt quickly to changing priorities and customer needs.
• Excellent written and verbal communication skills in English.

Nice-to-Have

• Experience with Python and/or C#.
• Experience working with MongoDB.
• Experience designing, deploying, and maintaining cloud-based workflows.
• Knowledge of AI/ML techniques for video enhancement and image processing.
• Familiarity with machine vision standards and transport technologies.
• Experience with messaging and event streaming technologies such as ZeroMQ (ZMQ) or Apache Kafka.
• General understanding of camera technologies and workflows.
• Familiarity with broadcast engineering tools such as vector scopes, RCPs, and CCUs.
• Experience integrating OEM SDI output cards and APIs from vendors such as AJA or Blackmagic Design.
• Experience within sports technology, broadcasting, streaming media, or cloud software industries.