Dolby Laboratories

Staff Software Engineer, AI Systems

Dolby Laboratories • $130K — $155K *
Atlanta, GA 30349In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years production software development experience with a focus on AI-assisted tools like Devin, Claude, Codex, etc.
  • Proven track record in making architectural decisions and setting technical standards for engineering organizations.
  • Strong programming skills in Python or TypeScript/Node.js with adaptability to new technologies.
  • Experience integrating AI systems with SaaS APIs (REST, webhooks, OAuth) and handling edge cases.
  • Hands-on experience building production agents or AI workflows using LLM APIs and agentic frameworks.
  • Comfortable engaging with business stakeholders to translate requirements into technical solutions.
  • Security-conscious, with a solid understanding of data classification, access controls, and compliance.

Responsibilities

  • Own the AI systems architecture and define technical standards for integration and data access.
  • Design and implement foundational data layers for seamless AI functionality across business functions.
  • Maintain integrations between various business systems (CRM, billing, product usage) to ensure effective data flow.
  • Collaborate with Product Engineering on infrastructure and integration needs, aligning goals for effective build processes.
  • Develop customer-facing and internal applications based on user stories and requirement discussions.
  • Create AI-powered workflows for business optimization, including automated alerts and revenue lifecycle automation.
  • Set the technical bar for AI system development across teams, creating a foundation for reusable solutions.

Benefits

  • Opportunities for professional growth and development in a cutting-edge AI environment.
  • Collaborative work culture, emphasizing cross-team engagement and knowledge-sharing.
  • Access to advanced technologies and tools to enhance engineering productivity.
  • Flexibility in how and where you work, fostering a balance between personal and professional life.
Full Job Description
About This Role

Dolby Cloud Solutions is embedding AI into the core of how it operates - not as a side project, but as a fundamental shift in how work gets done across the business. The philosophy guiding this work is simple: AI prepares, humans decide.

This is a Staff-level engineering role at the center of that effort. You will own the technical architecture of the shared AI infrastructure that DCS teams build their business processes on - and you will build specific solutions on top of it. You will define the patterns, standards, and integration approaches that others follow, and serve as the technical authority when architectural decisions need to be made.

Business problems are owned by business stakeholders. You will work closely with those stakeholders - helping shape requirements and acceptance criteria where needed, then owning the build end to end. You will also collaborate with OptiView Product Engineering on shared infrastructure and systems integration, and engage Product Engineering when platform features or APIs need to be developed to support the work.
What You'll Do

Own the AI systems architecture
  • Define the technical architecture of the shared data and integration layer - not just build it, but set the standards and patterns that others build on top of
  • Establish integration patterns, credential management standards, and data access models that scale across teams and systems
  • Ensure the infrastructure is secure, observable, and operable - not just functional at launch

Build and integrate across systems
  • Architect and implement the foundational data and integration layer that enables AI agents and applications to operate reliably across business functions
  • Build and maintain integrations between business systems - CRM, billing, support, product usage, and more - so that data flows where it needs to go
  • Collaborate with Product Engineering on shared infrastructure, systems integration, and platform capabilities - you know when to build and when to align
  • Configure and manage MCP servers and API connections to internal systems, with proper credential management and security controls
  • Stand up shared hosting infrastructure for agents, automations, and applications, moving work off local workstations and into production environments
  • Build scheduled automations and event-driven workflows that run reliably without manual intervention

Deliver business solutions
  • Work with business stakeholders to understand problems, refine requirements, and define acceptance criteria - then own the build
  • Develop customer-facing and internal applications from requirements and user stories - these may be web applications, headless services, agentic flows, or a combination
  • Build AI-powered workflows for business teams including customer health monitoring, automated alerts, meeting intelligence, and revenue lifecycle automation
  • Iterate rapidly: deploy working software, collect feedback, and improve

Raise the technical floor across DCS
  • Set the technical bar for how AI systems are built, integrated, and maintained across the organization - your decisions become the standard others follow
  • Maintain a shared repository of prompts, agents, skills, and workflows organized for reuse across teams
  • Help colleagues across Customer Success, Sales, Marketing, and Finance build and deploy their own AI solutions on the shared infrastructure
What You Bring

Required
  • 5+ years building production software - applications, APIs, backend services, platform infrastructure, or data integrations - with a demonstrated track record of leveraging AI-assisted development tools (Devin, Claude, Codex, Cursor, or similar) as a core part of engineering delivery
  • Proven experience making architectural decisions, set technical standards, and influenced how an engineering organization builds
  • Strong with Python or TypeScript/Node.js; comfortable picking up whatever the job requires
  • Experience building tool-use integrations for AI systems; familiarity with MCP (Model Context Protocol) or similar protocols/frameworks is strongly preferred
  • Proven experience integrating with SaaS APIs (REST, webhooks, OAuth) - you have connected real business systems and understand the edge cases
  • Hands-on experience with LLM APIs and agentic frameworks - you have built production agents or AI-powered workflows, not just prototypes
  • Comfortable working with business stakeholders - you can participate in requirements discussions, ask the right questions, push back constructively, and translate business intent into working software
  • Experienced collaborating with product and platform engineering teams - you know how to articulate what you need, align on approach, and get things built across team boundaries
  • Security-conscious: you understand data classification, access controls, API credentials, compliance requirements, and risk management principles, and you incorporate them into the systems you build

Strong Plus
  • Experience designing federated data layers, shared integration infrastructure, or multi-system data pipelines
  • Familiarity with common SaaS business systems used in revenue, support, or customer success operations
  • Background in Customer Success, RevOps, or SaaS B2B - you understand the business domain you're building for
  • Experience incorporating data classification, compliance, security, and risk assessment considerations into the design and operation of AI-powered systems and business automations

About Dolby Laboratories

Dolby Laboratories, Inc. creates audio and imaging technologies that transform entertainment and communications at the cinema, at home, at work, and on mobile devices. The company develops and licenses its audio technologies, such as AAC & HE-AAC, a digital audio codec solution used for TVs, set-top boxes (STBs), personal computers (PCs), gaming consoles, mobile devices, and digital radio; AVC, a digital video codec with high bandwidth efficiency used in media devices; Dolby AC-4, an audio coding technology that delivers new audio experiences to a range of playback devices; and Dolby Atmos technology for home theaters, cinemas, device speakers, mobile devices, and headphones. Its audio technologies also comprise Dolby Digital, a digital audio coding technology that provides multichannel sound in the home; Dolby Digital Plus, a digital audio coding technology that delivers audio quality for streaming, downloaded, and broadcast content; Dolby TrueHD, a digital audio coding technology for content providers; Dolby Vision, an imaging technology for cinema, digital TV, and other consumer devices; and HEVC, a digital video codec with high bandwidth efficiency to support delivery of Ultra HD and other video content. In addition, the company designs and manufactures audio and imaging products, such as digital cinema servers, Dolby Cinema audio products, and other products for the film production, cinema, television broadcast, and entertainment industries. Further, it offers services to support theatrical and television production for cinema exhibition, broadcast, and home entertainment. The company serves film studios, content creators, post-production facilities, cinema operators, broadcasters, and video game designers. Dolby Laboratories, Inc. was founded in 1965 and is headquartered in San Francisco, California.
Learn more about Dolby Laboratories
Size
2,368 employees
Market Cap
$6.5 billion
Industry
Consumer Technology
Net Income
$317.8 million
Founded
1965
5 Year Trend
+3%
Revenue
$1.2 billion
NASDAQ
DLB
* Ladders Estimates

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