OverviewWe 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.ResponsibilitiesDevelop 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 deliverablesWork with media frameworks such as FFmpeg and GStreamer for both audio and video pipelinesImplement CPU and GPU-based acceleration paths (e.G., SIMD, CUDA, NVENC, NVDEC) for low-latency media processingArchitect modular, scalable components for deployment in cloud native and bare metal environmentsProfile and tune software for throughput, latency, and system resource efficiency across varied hardware targetsDevelop and support IP-based live media systems using standards like SMPTE ST 2110, NMOS, and PTPWork with real-time transport protocols like RTP, UDP, MPEG-TS, SRT, RISTMaintain clean, testable C/C++ code with attention to reliability, performance, and maintainabilityConduct design and code reviews; contribute to internal standards and software architecture practices, share technical knowledge and mentor junior team membersCollaborate with QC and product teams on validation, CI/CD, monitoring, and deployment of live systemsQualifications7+ years of hands-on C/C++ development in high-performance or real-time systemsStrong understanding of video and audio compression standards and formatsExperience with media frameworks such as FFmpeg or GStreamer in production systemsSolid understanding of Linux systems programming, including memory management, file I/O, scheduling,



and process controlFamiliarity with inter process communication (IPC) mechanisms: shared memory, sockets, pipes, message queuesExperience with multithreaded and parallel programming techniquesWorking knowledge of GPU or SIMD-based performance optimizationsProficiency in scripting languages such as Python, Bash, or Shell for automation and build toolingUnderstanding of network transport protocols (TCP, UDP, RTP)Additional Technical ExperienceIP-based broadcast standards: SMPTE ST2110, NMOS IS-04/IS-05, PTP / IEEE1588Low-latency A/V synchronization in live productionHardware codec APIs: NVIDIA Video Codec SDK, Intel oneVPL, AMD AMFAdaptive bitrate streaming (HLS, MPEG-DASH) and multi-profile encodingDebugging tools: ffprobe, gst-launch, tcpdump, WiresharkOpenCV for image/video processing or computer vision preprocessingVulkan API experience for high throughput GPU compute or future codec accelerationContributions to open source media, vision, or systems librariesWhat we offerEmployer funded benefits programCompetitive total compensation packageWork-life balanceEmployee Assistance planEmployee Discount PlatformCareer progressionCasual work environmentSocial events and sports teamsLocation:Burlington, OntarioHours:Monday - Friday, 40 hours.Vacancy:This is an existing position.Salary Range:$90K CAD - $125K CAD, based on experience.About UsEvertz Microsystems (TSX:ET) is a leading global manufacturer of broadcast equipment and solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices. Evertz has expertise in delivering complete end-to-end broadcast solutions for all aspects of broadcast production including content creation, distribution and delivery.Evertz is an equal chance employer. In compliance with accessibility laws, Evertz will strive to provide accommodations to persons with disabilities in the recruitment process upon request. If you require accommodation during the recruitment process, please notify Human Resources upon scheduling your interview.Powered by JazzHR#J-18808-Ljbffr

📌 Sr. Software Design Engineer - C$90,000 - C$125,000 A Year (Toronto)
🏢 Evertz Microsystems
📍 Toronto