Expected, C, C++, Git, Confluence, JIRA, Bash, Python, Make, Shell, CMake, Networking
Optional, AWS, Jenkins, JIRA, video codecs, video compression, broadcast
Operating system, Windows
About the project, We are looking for Developers for multiple openings in our Video Compression team to expand our range of server-based products. You will join a successful and experienced team working on x86 hardware delivering contribution, distribution and cloud on-ramp technology.
Your responsibilities, Researching, designing and implementing software employing standard development practices., Identifying areas for improvement in existing programs and subsequently implementing these improvements., Writing and implementing efficient code in a manner easily understood by peers., Developing and implementing unit, functional and regression test procedures pertaining to designed system., Working in an independent and group setting, mentoring and cooperating with others as needed., Deploying software tools and processes., Maintaining and upgrading existing systems.
At least 5 years of professional experience with C/C++, Structured, object-oriented design and programming techniques, Understanding of video processing and compression pipelines, Concurrent programming in Linux environments, Git (Git-based workflows, CI, Confluence, JIRA), Scripting (sh, Bash, Python), Make, Networking (sockets, TCP/UDP/RTP, multicast/unicast)
Optional, Video codecs (H.264, H.265, JPEG2000, JPEG-XS, DNxHD, ProRes), ffmpeg, x264, Media containers (MPEG-TS, MOV, MXF), Broadcast production (SDI, SMPTE ST2110, timecode, NLE), Time systems and time distribution (UTC/TAI, IEEE1588, SMPTE ST2059, leap seconds), Network streaming (SRT, RIST), Image Properties (fourCC, colour space, HDR/SDR), Cloud infrastructure and deployment (AWS), Linux kernel knowledge (drivers, networking, filesystems, memory management, tracing), Linux packaging/distribution (dpkg-deb, debootstrap, pbuilder, rootfs), CI/CD (Jenkins, JIRA, Stash)
This is how we work, in house
This is how we work on a project, Continuous Deployment, Continuous Integration, functional tests, regression tests, unit tests
Benefits, private medical care, remote work opportunities, integration events
Recruitment stages, Screening with recruiter (45min), Interview with Technical Director (45min), Technical interview with Hiring Manager (about 90min)
EVERTZ POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ, The Compression team architects, develops, and manages high-performance real-time video/audio/metadata compression products, all developed in C++. Your tasks involve working with encoders and decoders for various codecs (such as H.264, HEVC, JPEG-XS, NDI, AV1, AAC, MP1L2, among others), processing video both in the compressed domain and in the raw video baseband domain. Video streaming utilizes multiple standards, including SRT, RIST, UDP, RTP, ST2110. The deployment environment spans on-premises servers and cloud infrastructure, all within a Linux environment. Collaboration extends to working with software accelerators PCIe cards, managing a substantial codebase. You will work in an agile environment with our international teams. Your work will be seen by millions., , Our engineers develop next-generation technologies that power the creation and distribution of media entertainment that you enjoy at home or on mobile. Our products play a significant role in producing and delivering your favourite sports, shows and movies. Anything you watch on TV or stream online, there’s a good chance Evertz is behind the scenes making it happen., , We work in agile, low-bureaucracy, cross-functional teams spread across the world. It’s a highly creative work environment where the team is built on trust and is relaxed, open and welcoming to all., , Evertz has engineering offices in Canada, England, Scotland, India, and now it’s time for Poland!
pbuilder srt shell Amazon Web Services (AWS) rootfs Linux Networking makefile mov ffmpeg sdi cmake Git C CI/CD broadcast Python Confluence C++ Jira linux-kernel Bash fourcc Jenkins x264 Software Engineer