Cephable QA Automation Engineer Wilmington, MA · Remote · Full time Company website

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Cephable is an on-device productivity assistant that helps people control, create, and automate their work across personal and professional workflows. Built on universal-design principles, Cephable adapts to the way each person works best, and it does so privately: everything runs on the device, so a person's and a business's data is never processed in the cloud. We're a small, fast-moving team building category-defining software, and we go to market alongside the world's leading technology partners.

About the role 

We're hiring a QA Engineer to make sure Cephable works, every time, for the people who depend on it. You'll take real user scenarios (a user running an automation that drafts and sends a report, rewriting a document with local AI, or chaining actions across several apps) and turn them into automated tests that run reliably across our platforms. 

This isn't a role measured by test counts or pass rates. A thousand shallow tests that pass tell us little; a handful that faithfully reproduce how a user actually works tell us a lot. We want someone who starts from the user and works backward to the automation. 

Because our AI runs on-device, "cross-platform" goes beyond operating systems. The models behind our automations, content generation, and voice features behave differently across CPUs, GPUs, and NPUs from different manufacturers, so your coverage will span hardware as well as Windows, macOS, iOS, and Android. 

Location: Remote, US only. Boston area preferred.

About the team 

You'll be joining a small, highly collaborative engineering team, working directly with our CEO and our Director of Engineering. This role sits at the intersection of our apps and on-device AI, with significant ownership available for someone who wants to shape how we define and measure quality across both. We are highly collaborative and see product quality as a team sport. 

What you'll do 

Your top priority is our on-device automations: the AI-driven workflows that take actions across a user's apps. These need to produce the right result, in the right app, on various devices. 

• Explore before you automate. Do hands-on, exploratory testing of new features and new hardware to understand the real user experience, then turn what you learn into automated tests. 
• Translate user journeys into automated tests. Work with product, support, and users to capture how people really use Cephable, then build end-to-end tests that reproduce those workflows faithfully. 
• Automate across desktop and mobile. Build and maintain test automation for our Windows, macOS, iOS, and Android apps, plus our Web, .NET, and Unity SDKs. 
• Test on-device AI across hardware. Design a coverage strategy that spans GPU, NPU, and CPU vendors and device manufacturers, and catch regressions in accuracy, latency, and resource use before users do. 
• Make AI-driven behavior testable. Build repeatable fixtures and evaluation methods for on-device automations and content generation, verifying outcomes in the target apps even when model output varies. Cover voice and camera input with recorded audio and video where they trigger automations. 
• Prune and prioritize. Retire flaky or low-value tests, and keep the suite focused on the scenarios that protect user outcomes. 
• Report what matters. Turn test results into clear signals about user impact, and partner with engineering to diagnose and fix issues at the root. 
• Champion accessibility. Test alongside assistive technologies and against accessibility standards, and help the team keep users with disabilities at the center of quality decisions. 

What you'll bring 

• 3+ years in QA or test automation, with a track record of building suites that teams trust. 
• Hands-on experience automating both desktop and mobile apps. 
• Strong programming skills for writing and maintaining test automation. 
• Experience running tests in CI/CD pipelines and managing results across many device configurations. 
• A user-first mindset: you can explain why a test exists in terms of the person it protects, not just the code path it covers. 
• Sound judgment about test value, including when to delete a test, mock a dependency, or push for a real-device run. 
• Clear written communication, especially when turning ambiguous user feedback into precise, reproducible test cases. 

Nice to have 

• Experience testing on-device inference, especially on NPUs or GPUs (for example Qualcomm, Intel, AMD, NVIDIA, or Apple Silicon). 
• Familiarity with performance and resource profiling: CPU, GPU, NPU, memory, battery, and thermal behavior. 
• Experience testing AI agents, workflow automation, or LLM-powered features, including evaluating non-deterministic output. Experience with voice or speech testing is also a plus. 
• Knowledge of accessibility standards (WCAG, Section 508) and assistive technologies such as screen readers, switch access, and eye-gaze systems. 
• Experience with device farms or cloud device labs (for example BrowserStack, Sauce Labs, or AWS Device Farm) or running an in-house hardware lab. 
• Experience testing SDKs or game-engine integrations such as Unity. 

How we measure quality 

We judge this role by whether users can rely on Cephable, not by how green the dashboard looks. In your first year, success looks like: 

• The workflows our users depend on most are covered end to end by tests that mirror real usage. 
• Hardware-specific regressions are caught in testing, not reported by users after a release. 
• The test suite is smaller where it should be, trusted by engineers, and free of tests nobody can explain. 
• When a user reports a problem, we can reproduce it, write a test for it, and keep it from coming back. 

Why Cephable 

• Mission-driven impact: Make sure the interface between people and AI works reliably for the people who depend on it 
• Deep technical ownership: Own quality strategy across our desktop and mobile apps and on-device automations, with real room to shape how we test AI-driven features 
• Modern, meaningful stack: Test React, Electron, native modules, and local LLM inference across a wide range of GPUs, NPUs, and devices, not just CRUD apps 
• Small team, high trust: Work directly with senior leadership in a low-bureaucracy environment 
• Seed-stage momentum: Backed by top investors with enterprise partnerships at scale 

What we offer 

Salary: $105,000–$130,000 base 

Equity 

• Meaningful equity grants (options) in a company with existing revenue and a clear growth trajectory 
• Standard 4-year vesting with a 1-year cliff 

Health & wellness 

• Health insurance: medical, dental, and vision 

Time off 

• 120 hours per year accrued per pay period 
• Up to 40 hours carry over year to year (we want you taking vacation) 
• 8 additional hours per year of tenure 
• 15 paid holidays: 11 federal holidays, plus the Fridays before Labor Day and Memorial Day, an extra day for July 4th, and the Wednesday before and Friday after Thanksgiving