Staff/Senior SDET

Key Responsibilities

• Deliver the highest quality of the company's flagship products.
• Design, build, and maintain test automation frameworks and custom tooling spanning web, API, mobile, and cloud (AWS) surfaces.
• Build and maintain hardware-in-the-loop test rigs and automation for custom hardware devices — flashing firmware/images, wiring up test harnesses, and automating physical test scenarios.
• Write test code and treat test infrastructure as a real engineering product with its own architecture, code review, and CI/CD.
• Partner directly with engineering to embed testability into system design early, and to debug failures down to root cause across the stack.
• Design verification suites for releases as they promote through staging and production, and build dashboards/metrics that give engineering leadership a real-time read on quality and release risk.
• Investigate and prototype computer vision-based testing approaches where applicable (e.g., visual regression, camera/sensor validation) — a strong plus, not required.
• Continuously raise the bar on test coverage, flakiness, and execution speed; retire brittle manual processes in favor of automation and tooling.
• Contribute to retrospectives and postmortems to improve the SDLC — increasing velocity while managing risk.

Qualifications

• Bachelor's degree in computer science, engineering, or a related field (advanced degree a plus), or equivalent hands-on experience.
• 5-7+ years of experience as an SDET, test automation engineer, or software engineer with a strong quality/testing focus.
• Strong software engineering fundamentals — comfortable writing and reviewing production-grade code, not just test scripts.
• Hands-on experience building automation frameworks with tools like Playwright, Selenium, Appium, or similar, across web, API, and mobile.
• Proficiency in Python, JavaScript/TypeScript, or similar languages.
• Experience testing hardware or embedded/IoT systems — firmware/image flashing, physical test rigs, device bring-up, or similar.
• Solid understanding of CI/CD pipelines and how automated testing integrates into the delivery lifecycle.
• Comfortable using AI tools (Claude Code, CoWork, Skills etc.), familiar with agentic AI, and able to leverage AI as part of a daily workflow.
• Computer vision and audio/image/video processing experience (OpenCV or similar) is a strong plus.