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We are seeking a Senior Software Design Engineer with deep expertise in real-time media systems, audio / video compression, and high-performance software development. You will play a critical role in building scalable, low-latency encoding pipelines that operate across cloud, edge, and bare-metal environments. This position involves working with advanced codecs, open-source frameworks, and IP-based broadcast standards.
As part of your role, you will help translate the product vision and system requirements into concrete software development projects, driving end-to-end technical execution.
Responsibilities
Develop and optimize software for real-time video and audio compression (e.g., H.264, HEVC, AV1, JPEG XS, VVC, AAC, AC-3, NDI).
Translate product vision and system requirements into concrete, software deliverables.
Work with media frameworks such as FFmpeg and GStreamer for both audio and video pipelines.
Implement CPU and GPU-based acceleration paths (e.g., SIMD, CUDA, NVENC, NVDEC) for low-latency media processing.
Architect modular, scalable components for deployment in cloud native and bare metal environments.
Profile and tune software for throughput, latency, and system resource efficiency across varied hardware targets.
Develop and support IP-based live media systems using standards like SMPTE ST 2110, NMOS, and PTP.
Work with real-time transport protocols like RTP, UDP, MPEG-TS, SRT, RIST.
Maintain clean, testable C / C++ code with attention to reliability, performance, and maintainability.
Conduct design and code reviews; contribute to internal standards and software architecture practices, share technical knowledge and mentor junior team members.
Collaborate with QC, and product teams on validation, CI / CD, monitoring, and deployment of live systems.
Qualifications
7+ years of hands-on C / C++ development in high-performance or real-time systems.
Strong understanding of video and audio compression standards and formats.
Experience with media frameworks such as FFmpeg or GStreamer in production systems.
Solid understanding of Linux systems programming, including memory management, file I / O, scheduling, and process control.
Familiarity with inter process communication (IPC) mechanisms : shared memory, sockets, pipes, message queues.
Experience with multithreaded and parallel programming techniques.
Working knowledge of GPU or SIMD-based performance optimizations.
Proficiency in scripting languages such as Python, Bash, or Shell for automation and build tooling.
Understanding of network transport protocols (TCP, UDP, RTP).