Hiring: AI Architect - Media Company: Dolby Laboratories Location: Atlanta, GA Job Posted Time: 2026-09-02 17:58:49 Employment Type: Not specified Target Skills & Keywords: AI/ML Architecture, Edge ML, NPU, GPU, DSP, Model Training & Deployment, Audio/Video Processing, Personalization, Cloud/Edge/Embedded, Data Governance, QA for AI/ML, Silicon Vendor Collaboration, Technical Leadership Experience: - Senior Staff level AI/Machine Learning Architect experience - Proven track record bridging ML research teams and product engineering organizations - Hands-on expertise translating advanced ML research into efficient, scalable, production-ready solutions - Experience defining technical strategy for developing, training, and deploying AI/ML models, particularly in edge ML and NPU-enabled platforms - Cross-functional collaboration with researchers, software engineers, and external partners such as silicon vendors - Background spanning cloud, edge, and embedded environments Required Skills: - Deep understanding of AI/ML technology strategy across audio processing, video processing, personalization, and related domains - Expertise in edge ML, GPUs, and NPUs - Ability to establish best practices, guardrails, and technical guidelines for building, training, optimizing, and deploying ML models - Knowledge of emerging AI/ML architectures and edge inference techniques - Experience defining architectural approaches for integrating traditional audio/video processing (DSPs, hardware accelerators) with ML models - Collaboration with Data Engineering teams on data governance, sourcing, cleaning, and pipeline management - Development of testing methodologies appropriate for AI/ML systems - Working understanding of GPU and NPU architectures, toolchains, operator support, and performance characteristics - Strong technical communication and system-level thinking Qualifications: - Demonstrated technical leadership influencing direction across projects and teams - Ability to anticipate evolving business and technical needs and contribute to a forward-looking technical vision - Experience partnering with platform managers and engineering teams to integrate ML models into shipped products - Skill in identifying gaps between model requirements and hardware capabilities - Strong cross-functional collaboration and execution skills Compensation: - Excellent compensation and benefits (details not specified) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!