Sr. Edge Apps Research Engineer 2 of 2
1 month ago
Necessary technical knowledge to create new SW architecture, platforms, and enabling systems needed for real-time, just-in-time processing for audio/video algorithms running on distributed fashion between cloud and edge devices. Basic knowledge on Audio/Video streaming formats.Explore new technologies
: Openness to learn new areas and innovate in the new areas.Invent & Innovate:
Develop short and long-term technologies, algorithms and software tools that will help make Dolby a world leader in enhancing the sight and sound associated with digital content consumption. Then influence and collaborate with BG partners put the technology into production.Work with a sense of Urgency:
Responds aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Takes appropriate risks to be ahead of the competition and the market.Collaborate:
Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises.Desired BackgroundPhD in Computer Science, or similar fieldsKnowledge of statistics, data science, AI/machine learning, big data managementStrong proficiency in Python and an additional language (e.g., C++, Golang, Rust, etc)Experience with implementing AI/ML/computer vision in media processing applications like real time, low latency streaming on edge/mobile device.Experience with ML frameworks like PyTorch, ONNX, Tensorflow on edge systems and understand common model optimization techniques like quantization, sparsificationExperience troubleshooting and debugging edge AI systems, addressing performance bottlenecks and issues, and optimizing their power and heat profiles.Experience with AI/ML models, cloud-optimization, and software development patternsFamiliarity with AWS, GCP or other public clouds, including serverless services.Familiarity with DevOps, CI/CD (Github Actions, etc), bash, UNIX/Linux commands, etcFamiliar with git and project management tools, such as JIRAExcellent problem-solving and partnership skillsExcellent communication and presentation skillsRelevant publications in cloud and edge systems conferences (e.g., SOSP, ASPLOS, OSDI, SC, HPCA, NSDI, FAST, SoCC, TinyML, VLSI Symposium)Desired: Knowledge of Audio/Video streaming formatsBonus:
Experience with Databricks / Spark in addition to using multiple Cloud services’ data products and services*LI-SB1
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Sr. Edge Apps Research Engineer
2 months ago
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Sr Data Visual Research Scientist 2 of 2
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