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AI Systems Architect

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Via Licensing Corporation
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff Real-Time AI Systems Architect

Responsibilities

Partner with Dolby researchers, understand the AI based Imaging/Audio algorithms and optimize the algorithm to run in Cloud and end device in a distributed way.

Be a key part of a team which is trying to figure out how to do low latency cloud offloading of complex algorithms.

Partner to develop a Cloud backend solution, Web App and mobile applications for Android/iOS which connect to the Cloud backend.

What You Will Accomplish
  • Design and implement advanced data platforms, unified data models spanning structured and unstructured data sets, and data-enabling systems like metadata management services to support training and inference of AI/ML models in a hybrid‑cloud environment.
  • Design and implement cloud‑based, distributed software architectures and microservice‑based platforms to enable low latency, real‑time streaming and complex event processing that deliver Dolby’s next‑gen Audio/Visual experiences in the cloud or on end‑user devices.
  • Develop new applications, novel data collection tools, and instrumentation regimes that enable an amazing variety of interactive and immersive data‑driven experiences by inferring context of both content and the world around us using AI‑based techniques.
  • Consult and implement data governance and management policies to support Dolby’s position as trusted custodian in the media, entertainment, and technology ecosystems.
  • Partner with ATG researchers to understand data and advanced cloud system‑related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains.
What You Need to Succeed
  • Technical depth:
    Necessary technical knowledge to create new software 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 putting 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.
What You Bring
  • Master’s degree in Computer Science or a related field;
    PhD is a welcomed plus, but not required.
  • 5+ years of relevant professional experience designing and building distributed data systems at scale.
  • A solid foundation in statistics, data science, AI/machine learning, and large‑scale data management.
  • Strong programming experience in Python, plus at least one additional language such as C++, Go, or Rust.
  • Hands‑on experience with data structures, distributed systems concepts (e.g., consensus, coordination), data modeling, and analytics over heterogeneous, streaming data.
  • 4+ years of experience working with cloud and distributed architectures, including microservices and service‑oriented systems; familiarity with API design and implementation (REST, gRPC/Thrift), container orchestration (Kubernetes), and performance optimization.
  • Experience with real‑time messaging and streaming platforms such as Pub/Sub, Kafka, Storm, Kinesis, Dataflow/Beam, Flink, or Spark Streaming.
  • Exposure to AI/ML models, cloud optimization strategies, and modern software development patterns.
  • Working knowledge of Dev Ops practices, CI/CD pipelines (e.g., Git Hub Actions), and Linux/UNIX environments.
  • Familiarity with Git and project‑tracking tools such as JIRA.
  • Strong problem‑solving skills and a collaborative, partnership‑oriented mindset.
  • Clear and effective communication and presentation skills.
Nice to Have
  • Experience with audio/video formats, processing, editing, or streaming.
  • Hands‑on…
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