The Video Engineer role involves managing video technologies, troubleshooting SIP issues, and understanding Cisco telepresence systems and traces.
Company Description
IT
Job DescriptionRole: Video Engineer
Location: SFO, CA
Duration: 6+ Months
BGV will be done for the selected candidates.
Tandberg
VCS-C, VCS-E, TMS, MSE, Conductor, MCUs, CTMS, ISDN gateways
SIP Troubleshooting
Understanding CUCM/VCS Traces
Understanding Packet Captures
Cisco Telepresence System
Cisco Jabber
Please respond with your word resume and requested details:
Full Name :
Work Authorization:
Contact Number :
Email ID :
Skype ID:
Current location:
Willing to relocate :
Rate/hr :
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Design, develop, and optimize a low-latency, high-quality media streaming stack for cloud gaming. Analyze GPU/CPU video pipelines, isolate bottlenecks, collaborate with hardware teams, build tools to measure video quality, and implement adaptive streaming and codec-based improvements for resilient performance under variable networks.
Top Skills:
Av1CC++CudaDirectxDlssFsrH.264Hardware Video EncodersHevcNvidia Video Codec SdkNvmediaOpenglRtxV4L2Vulkan
Security
Lead product- and system-level V&V for high-performance multimedia hardware. Develop test strategies, execute formal validation (video/audio/interoperability/environmental), automate tests with Python, troubleshoot complex hardware/firmware/software/FPGA issues, support RMAs and regulatory compliance, mentor junior engineers, and produce technical test documentation to enable product releases.
Top Skills:
4K60Audio PrecisionComposite VideoData AcquisitionDisplayportDviEdidElectronic LoadEmc/EmiEsdEthernet/IpFpgaHdcpHdmiHdmi/Dp AnalyzersIec 60601Iec 61000-4-XLinuxLogic AnalyzerOscilloscopePattern GeneratorsPhabrixPower SupplyPythonQuantum DataSdiSdi AnalyzersSdvoeSerial (Uart)Signal AnalyzerSignal GeneratorSocSpectrum AnalyzerStreaming VideoThermal ChamberWindows
Artificial Intelligence • Information Technology • Software
Develop and optimize video processing applications and algorithms for desktop and mobile. Research and evaluate video processing and neural-rendering methods, implement modular, high-performance code, integrate and deploy deep learning models across Mac, Windows, iOS and Android, and build test environments and tools for runtime verification.
Top Skills:
AndroidCC++Deep LearningDiffusion ModelsGaussian SplattingGenerative ModelsImage ProcessingiOSmacOSMultimedia Data ProcessingMultithreaded ProgrammingNeural RenderingObjective-CPythonTransfer LearningVideo ProcessingWindows
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


