The opportunity
OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care…
What you'll do
Lead and grow the team: Hire, manage, mentor, and develop engineers and lab operations staff responsible for test infrastructure, automation, device labs, and release validation.
Own validation strategy and release quality: Define the systems, processes, release criteria, metrics, and escalation mechanisms used to assess reliability and readiness across software, firmware, and hardware; drive improvements in test reliability, failure triage, and regression management.
Build scalable test infrastructure: Guide the development of a stable, all-purpose testing platform, automated test frameworks, hardware-in-the-loop systems, device orchestration, diagnostics, and developer tooling—while balancing dedicated rigs for technology-specific testing needs.
Scale lab and fleet operations: Ensure large-scale device fleets, test rigs, lab infrastructure, provisioning, maintenance, and capacity remain reliable and ready for engineering use; develop the processes, documentation, ownership models, and vendor partnerships needed to grow efficiently with the organization.
Set priorities and roadmap: Balance near-term release needs with longer-term investments in infrastructure, automation, scalability, and operational efficiency.
Partner across teams: Work closely with hardware, embedded systems, QA, reliability, and release teams to improve product testability and resolve cross-functional quality issues.
What they're looking for
- Own and communicate product quality: Pull metrics and aggregate test reports from multiple sources into a coherent message, carrying the voice of quality and advising on product launch readiness.
- Experience leading engineering teams responsible for systems integration,: test infrastructure, developer tooling, device quality, or hardware-software validation.
- Strong technical background in software engineering, embedded systems, test: automation, or systems engineering.
- Extensive background in consumer hardware products and understand the: challenges of validating software, firmware, and physical devices together.
