Video Engineer intern

About Haivision : Haivision is a leading global provider of mission-critical, real-time video networking and visual collaboration solutions. Our connected cloud and intelligent edge technologies enable organizations globally to engage audiences, enhance collaboration, and support decision making. We provide high quality, low latency, secure, and reliable live video at a global scale. Haivision open sourced its award-winning SRT low latency video streaming protocol and founded the SRT Alliance to support its adoption. Awarded four Emmys® for Technology and Engineering from the National Academy of Television Arts and Sciences, Haivision continues to fuel the future of IP video transformation. Founded in 2004, Haivision is headquartered in Montreal and Chicago with offices, sales, and support located throughout the Americas, Europe, and Asia. To learn more, visit Haivision at haivision.com.We are looking for two video engineering interns to work on the following projects :Subject 1 : NVIDIA Technologies in Real-Time IP Video WorkflowsNVIDIA solutions (GPU, SmartNIC) are becoming key enablers in high-performance video workflows. Hardware acceleration (NVENC/NVDEC), real-time AI processing, specialized frameworks (DeepStream, Holoscan), and IP outputs via SMPTE ST 2110 allow the creation of powerful, flexible, and low-latency video processing pipelines.As part of the Advanced Projects team, you will assess the potential integration of NVIDIA technologies into Haivision’s server platforms for receiving and distributing live IP video streams. The goal is to explore how these solutions can enhance the performance, video quality, and processing density of our systems.You will also collaborate with various R&D teams working on software development projects.Key Responsibilities:Study and get hands-on experience with NVIDIA frameworks (DeepStream, Holoscan, CUDA, etc.)Implement a real-time video processing and transmission chainDesign and develop a proof of concept based on a product use caseEvaluate performance metrics: processing density, resource consumption, latency, video qualityDocument and present your work to the relevant R&D teamsRequired Qualifications:Final-year engineering student (Master’s level), with a focus on telecommunications, signal processing, or digital imagingSolid programming skills (C, Python)Comfortable working in a Linux environment (command line, scripting, package management, compilation)Analytical mindset and curiosityFluent in technical English (documentation reading, technical discussions)Preferred Skills:Knowledge of media processing frameworks: FFmpeg, GStreamerFamiliarity with GPU acceleration APIs/frameworks: CUDA, NVENC, MediaSDK, TensorRTExperience with video codecs and formats (compression, encoding/decoding)Subject 2 : Video transmission optimization over Private 5G NetworksIn the field of live audiovisual production—particularly in multi-camera setups—ultra-low latency and stream synchronization are critical. The emergence of private 5G networks enables reliable wireless architectures with controlled Quality of Service (QoS), ideally suited to these demands.As part of the Advanced Projects team, your mission will be to propose strategies for automatically adapting very low latency video transmission profiles, leveraging joint source/channel optimization. The goal of this work is to simplify the deployment of video transmission equipment in the field.You will also collaborate with various R&D teams involved in embedded software development.Your responsibilities will include:Analyzing how a live video transmission chain operatesStudying automatic adaptation mechanisms on the source and channel sidesDefining dynamic strategies to adjust parameters during live productionPrototyping and integrating the solution into a Haivision product baseValidating performance on a test 5G networkDocumenting and sharing your work with R&D teamsRequired Skills and Knowledge:You are currently a final-year engineering student (Master’s level) specializing in telecommunications, signal processing, and/or digital imaging.You must have:Solid programming skills (C, Python)Comfortable working in a Linux environment (terminal, scripting, package management, and compiling)Curiosity, analytical thinking, and a critical mindsetFluent English (technical communication, reading documentation)Bonus skills:Knowledge of 5G networks (QoS, architecture, radio)Experience with video codecs or real-time systemsKnowledge of media processing frameworks: FFmpeg, GStreamerBoth internship Duration : 5 to 6 monthsLocation: Saint-Grégoire, near Rennes (France)