Software Engineer (Video Processing, On-site)

Job summary

This role involves developing and maintaining real-time video processing pipelines for a company specializing in AI-based sports camera technology. The position focuses on transforming high-resolution sensor streams into analysis-ready video, utilizing advanced technologies and collaboration across various teams.

Qualifications

• Experience with GPU programming and compute shaders (Vulkan and/or NVIDIA/CUDA).
• Knowledge of video processing, computer vision, and media pipelines, particularly with GStreamer.
• Strong software engineering fundamentals including architecture, APIs, testing, and maintainable systems.
• Proficiency in programming languages such as Rust, C++, Python, or Slang.
• Familiarity with Linux environments and build systems/tooling for native code projects (e.g., Meson/Ninja).

Responsibilities

• Design and maintain real-time video processing pipelines using GStreamer in both embedded and cloud environments.
• Contribute to GPU-accelerated video processing algorithms.
• Enhance video quality, robustness, latency, synchronization, and failure recovery.
• Develop CI-friendly testsuites and debugging tools for media pipelines.
• Collaborate with firmware, camera, AI, platform, and cloud teams for seamless integration of the video stack.
• Influence the long-term architecture of the video processing stack as technology evolves.

Skills

• Strong problem-solving skills in complex systems.
• Ability to work collaboratively in a diverse team environment.

Education

• Relevant degree in Computer Science, Engineering, or a related field is preferred but not mandatory.

Tools

• Media stack: GStreamer and in-house plugins.
• Build & packaging tools: Meson/Ninja, Docker, and Debian packaging.
• Environments: Docker/Kubernetes, Embedded Linux (Yocto).