Distributed Processing Research Engineer

Atlanta, US

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Dolby Laboratories

Dolby entwickelt Audio-, Bild- und Sprachtechnologien für Film, TV, Musik und Spiele. Erleben Sie alles mit beeindruckendem Klang und atemberaubendem Bild

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Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

 

The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

 

We’re looking for talented Distributed Systems and Stream Processing researchers who are excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large. Research in the areas of data platforms, distributed processing systems, and data science at Dolby Laboratories focuses on all aspects of large-scale cloud and edge data platforms and services, and novel ways to accelerate discovering insight from data.  We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.

Specifically, we are looking for applied distributed systems and stream processing researchers who are passionate about combining science with art—translating research into AI-enabled, low latency real-time streaming systems and applications, which enable the next generation of immersive experiences.

We believe data can play a huge role in making the experiences personalized and resilient. Data is critical to synthesizing experiences that are otherwise unimaginable. We welcome the opportunity to have you join our growing Atlanta Advanced Technology Research team.

 

Key Responsibilities:

  • Investigate, design, and develop advanced distributed software architectures and stream processing platforms to enable real-time, complex event and stream processing that deliver Dolby’s next gen Audio/Visual experiences in the cloud or on end-user devices.
  • Design and implement novel algorithms, data structures, and protocols to support scalable, reliable, and efficient training and inference of AI/ML models deployed in distributed computing environments.
  • Develop new platforms and tools that enable an amazing variety of interactive and immersive data-driven experiences informed by AI-based, acoustic, and other techniques to infer context of both content and the world around us.
  • Collecting and analyzing unstructured data, applying data analysis skills and data mining to understand customer behavior or enable novel systems’ experiments.
  • Partner with ATG researchers to understand data and advanced distributed system-related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains.

 What you need to succeed

Competencies

  • Technical depth: 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 Background

  • PhD in Computer Science, or similar fields
  • Knowledge of statistics, data science, AI/machine learning, big data management
  • Strong proficiency in Python and an additional language (e.g., C++, Golang, Rust, etc)
  • Expertise in data structures, distributed algorithms (consensus, coordination, etc, data modeling, and data analytic techniques of heterogenous, stream-based data
  • Expertise 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, etc
  • Proficiency with AI/ML models, cloud-optimization, and software development patterns
  • Familiarity 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, etc
  • Familiar with git and project management tools, such as JIRA  
  • Excellent problem-solving and partnership skills
  • Excellent communication and presentation skills
  • Relevant publications in distributed systems conferences (e.g., SOSP, OSDI, PODC, SC, NSDI, FAST, SoCC, Middleware, ICDCS, IPDPS)
  • Desired: Knowledge of Audio/Video streaming formats
  • Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services’ data products and services

 

 

The Atlanta Area base salary range for this full-time position is $144,600-$176,700, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.

 

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

 

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

Tags: Architecture AWS Big Data CI/CD Classification Computer Science Computer Vision Data analysis Data Analytics Databricks Dataflow Data management Data Mining Deep Learning DevOps Distributed Systems Engineering Flink GCP Git GitHub Golang Jira Kafka Kinesis Kubernetes Linux Machine Learning Microservices ML models Model inference NLP PhD Python PyTorch Research Rust Spark Statistics Streaming TensorFlow Unstructured data

Perks/benefits: Career development Conferences Equity Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  12  2  0

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