Sr Distributed Research Engineer 2 of 2
2 weeks 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)Expertise in data structures, distributed algorithms (concensus, coordination, etc), data modeling, and data analytic techniques of heterogenous, stream-based dataExpertise in cloud systems, distributed computing architectures (n-tier, peer-to-peer, microservices), and service design and implementation (REST, Thrift/gRPC, etc)Experience with real-time messaging and streaming architectures, platforms, and frameworks (PubSub/Kafka, Storm, Kinesis, Dataflow/Beam, Flink, Spark Streaming, etc)Experience with Kubernetes, app deployments, processing patterns, optimization, etcExperience with AI/ML models, cloud-optimization, and software development patternsFamiliarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc., is a plus.Familiarity using AWS, GCP, or other public clouds.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 distributed systems conferences (e.g., SOSP, OSDI, PODC, SC, NSDI, FAST, SoCC, Middleware, ICDCS, IPDPS)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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