Systems Test Engineer, End-to-End Validation | Consumer Devices

OpenAI•San Francisco, CA

21h•$230,000 - $290,000•Hybrid

About The Position

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 deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We validate complete device experiences across software, cloud services, connectivity, accessories, and real-world operating environments, combining hands-on system testing, structured test development, hardware-in-the-loop environments, diagnostics, and automation to uncover issues that component-level testing alone cannot reveal. As a Systems Test Engineer, End-to-End Validation, you will design and execute end-to-end testing for complex device experiences spanning hardware, software, connectivity, cloud services, and accessories. You’ll translate product behavior and real-world use cases into structured, reproducible test procedures and build test environments that allow failures to be reliably reproduced and diagnosed. You’ll also identify opportunities to automate repetitive or high-value scenarios, working with engineers to turn complex manual workflows into scalable validation systems. Because this is a new category of devices, you’ll have the opportunity to build the end-to-end validation foundation early—shaping test coverage, environments, and workflows from prototype through launch. We’re looking for someone who combines strong systems thinking, hands-on testing skills, technical curiosity, and a rigorous approach to reproducing and diagnosing failures across multiple components. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

Requirements

Experience with system-level, integration, end-to-end, or validation testing for complex hardware-software products.
Skill in translating loosely defined product behavior into clear, repeatable, and measurable test procedures.
Experience testing systems that span devices, networks, backend services, mobile applications, or connected accessories.

Nice To Haves

Enjoy hands-on debugging and can methodically isolate failures across hardware, firmware, software, connectivity, and cloud services.
Are comfortable working with logs, diagnostics, command-line tools, network tools, and device configuration utilities.
Have experience automating tests or test setups using Python or similar scripting tools, while recognizing when manual testing provides better coverage.
Understand how to create reliable test environments with controlled setup, configuration, preconditions, expected results, and recovery procedures.
Are comfortable working across engineering disciplines and communicating complex failures with clear evidence and reproducible steps.

Responsibilities

Design end-to-end test coverage: Develop structured test plans and reproducible procedures for user journeys, realistic usage patterns, edge cases, degraded conditions, and failure scenarios across devices, services, connectivity, and accessories.
Build and operate complex test environments: Maintain setups involving devices, servers, networks, accounts, peripherals, accessories, and controlled environmental conditions; prepare devices and environments for release validation, execute test campaigns, track results, and communicate risks and blocking issues.
Reproduce failures and diagnose systems: Reproduce complex failures, isolate contributing components, collect logs and telemetry, and provide engineers with clear reproduction steps and supporting evidence.
Automate high-value scenarios: Identify repeatable manual workflows that benefit from automation and develop or partner on tooling for device control, setup, measurement, data collection, and test execution.
Strengthen regression coverage: Convert field issues, production failures, and previously discovered bugs into repeatable regression tests and maintain coverage across product releases.
Partner across teams: Work with embedded, systems, cloud, hardware, QA, and product teams to understand system behavior, improve testability, and close gaps in validation coverage.