Software Engineer ? Broadcast Media Platforms

Job summary

Job Description We are seeking a Broadcast Media Systems Software Engineer with a strong focus on data streaming and real-time processing platforms to help design, build, and operate scalable, high-throughput, low-latency systems.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of professional software engineering experience.
• Systems Programming: 2+ years of hands-on experience programming real-time applications at the Low-Level / Packet Level using C, C++, or Rust.
• Must be highly comfortable with manual memory management, pointer manipulation, and multi-threaded optimizations.
• Strong experience in a modern concurrency language like Go or Python for stream orchestration, tooling, and control-plane API development.
• Network Protocols: Deep, foundational understanding of UDP and TCP/IP networking mechanics.
• Direct experience managing socket programming, custom congestion control, packet pacing, and error correction techniques (ARQ / selective retransmission).
• Media Transport: Proven experience with broadcast and linear video workflows, including media containers and multiplexing (specifically MPEG-TS wrappers).
• Experience building custom stream troubleshooting, diagnostic, or real-time monitoring software.
• Codecs: Codec-agnostic architecture mindset with low-level implementation knowledge of H.264/AVC, H.265/HEVC, and emerging standards like AV1.
• Automation & Scripting: Strong scripting capabilities in Python or Bash for stream orchestration, pipeline automation, and local-first systems management.
• Preferred

Responsibilities

• You will collaborate closely with data engineers, platform engineers, product teams, and infrastructure to ensure reliability, performance, and scalability across streaming pipelines.
• Design, build, and maintain scalable data streaming pipelines
• Develop and operate transport and broadcast media related architectures
• Implement custom transport logic and socket architectures to handle high-throughput packet and frame-level media streams
• Optimize systems for throughput, latency, and resource efficiency
• Participate in capacity planning and performance tuning
• Implement monitoring, logging, alerting, and metrics for streaming applications
• Integrate and customize open-source media frameworks including FFmpeg, GStreamer, and TSDuck into proprietary streaming ecosystems.
• Implement low-level wrappers and APIs using C, C++, or Rust to interface directly with core networking and hardware-accelerated video codecs.
• Ensure strict stream compliance, packet ordering, fault tolerance, and frame-accurate timing across all linear playout systems.
• Optimize media software for CPU cache locality, minimal memory allocation, zero-copy data paths, and overall resource efficiency.
• Implement robust monitoring, logging, and metrics specifically tailored for packet-level streaming health, jitter, and transport stream analytics.

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