Systems Integration Manager
San Francisco, United States · Hybrid · Full-time
- Posted 1mo ago
- From OpenAI’s careers page
- Location
- San Francisco, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Engineering
Opens the listing on jobs.ashbyhq.com
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About the role
About the Role
As a Systems Integration Manager, you will lead the team responsible for device validation infrastructure, test automation, developer tooling, and lab operations. This is a player-coach leadership role: you’ll set technical and operational direction, build and develop a team of engineers and lab operations professionals, and stay close to the architecture and hardest systems problems.
You will partner closely with device software, OS, firmware, hardware, reliability, QA, and release infrastructure teams to define validation strategy, improve release readiness, and ensure our test environments and quality signals scale with the product. Because this is a new category of devices, you’ll have the rare opportunity to build the validation foundation early—shaping the systems, standards, and operating model that will support products from prototype through launch.
We’re looking for a leader who combines strong technical judgment with people leadership, operational rigor, and experience building reliable systems for complex hardware-software products.
In this role, you will:
- 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.
- 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.
Minimum Qualifications:
- 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.
You might thrive in this role if you:
- Have successfully operated or scaled automated testing and hardware-in-the-loop environments.
- Are comfortable using data and quality signals to make release decisions and prioritize engineering investments.
- Have experience managing engineers while partnering closely with lab technicians, QA teams, vendors, or hardware operations teams.
- Can move comfortably between technical architecture, operational problems, people management, and cross-functional execution.
- Build strong teams, establish clear ownership, and create an environment where engineers can execute quickly without compromising reliability or quality.
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About OpenAI
AI research and deploymentOpenAI conducts AI research and develops products and platforms for consumers, developers and businesses.
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