Dolby Laboratories, Inc

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 Edge Application 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, data science and visualization, and cloud/edge systems 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 big data management, heterogenous data analytics, stream and big graph processing, novel cloud/edge systems, and applied machine learning and AI. Specifically, we are looking for applied cloud/edge application researchers who are passionate about combining science with art—translating research into AI-enabled, edge applications and systems to enable the next generation of immersive experiences.. Partner with ATG researchers to understand advanced cloud, data, and edge system-related opportunities in adjacent research domains such as applied AI and machine learning in Audio / Video domains.. 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

research engineer

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 Edge Application 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, data science and visualization, and cloud/edge systems 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 big data management, heterogenous data analytics, stream and big graph processing, novel cloud/edge systems, and applied machine learning and AI. Specifically, we are looking for applied cloud/edge application researchers who are passionate about combining science with art—translating research into AI-enabled, edge applications and systems to enable the next generation of immersive experiences. Sight and Sound play a large role in our day-to-day 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 edge computing architectures and delivery platforms to enable real-time, just-in-time processing with AI 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 optimize training and inference of AI/ML models deployed in edge devices and real-time streaming applications. 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 advanced cloud, data, and edge 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) 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, sparsification Experience 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 patterns Familiarity with AWS, GCP or other public clouds, including serverless services. 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 cloud and edge systems conferences (e.g., SOSP, ASPLOS, OSDI, SC, HPCA, NSDI, FAST, SoCC, TinyML, VLSI Symposium) 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.

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