About Redflag AI
Redflag AI is redefining the future of content protection. Our proprietary Cyclops system embeds invisible, robust watermarks into live and on-demand content, enabling detection and takedown of pirated media in near real time. We serve top-tier content owners including sports leagues, streamers, and broadcasters.
This is a unique opportunity to work on low-level watermarking systems, real-time video pipelines, and CDN edge enforcement infrastructure.
Role Overview
We’re hiring a Senior Engineer to help advance the Cyclops watermarking platform. This involves working in C/C++, Python, and collaborating with CDN partners to deploy lightweight modulation algorithms directly at the edge. Familiarity with video codecs, HLS/DASH, and performance-optimized systems is essential.
Key Responsibilities
- Design and optimize watermarking modules written in C/C++ for real-time video processing
- Work with Python services to manage fingerprint instructions and watermark IDs
- Integrate watermarking pipelines with CDNs like Fastly, Akamai, and Cloudflare
- Develop methods for embedding and verifying imperceptible video modulations at scale
- Coordinate with the detection team to validate watermark robustness post-compression
- Write efficient, cross-platform code that performs under strict performance constraints
- Lead technical discussions on watermarking standards and adversarial defense strategies
Requirements
- 5+ years of systems programming experience in C/C++
- Understanding of H.264/H.265 codecs, GOP structures, and video encoding/decoding pipelines (preferable)
- Experience with CDNs and edge deployment (e.g., WASM, VCL, Varnish)
- Strong scripting in Python for glue code, control flows, and testing frameworks
- Knowledge of video streaming protocols such as HLS, DASH, and RTMP
- Strong debugging and optimization skills for performance-critical systems
Bonus Skills
- Familiarity with perceptual hashing and fingerprinting techniques
- Experience with DRM, forensic watermarking, or broadcast compliance tools
- Contributions to open-source multimedia libraries (e.g., FFmpeg, GStreamer)
- GPU programming (CUDA/OpenCL) for real-time video processing