AI-Driven SDET: Intelligent Test Architect

Roku; Cambridge (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Mental health support

Retirement options

Job summary

Roku is seeking a Software Engineer (SDET) to advance our AI-enabled testing strategy. You’ll collaborate with software and QA engineers to design intelligent analysis systems that identify quality gaps and predict failures, using AI and analytics to raise the bar on test effectiveness.

The role emphasizes scalable testing, production reliability, and strong collaboration across teams. Ideal candidates have 4+ years in test architecture, 3+ years Python, familiarity with CI tools, and knowledge

Qualifications

• 4+ years of hands-on experience with test architecture and automation systems design.

Responsibilities

• Design and implement intelligent test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness.
• Design systems that collect, analyse and act on the testing data to continuously improve on the quality processes.
• Experience with systematic regression tracking and implementing process to prevent regression reoccurrence.
• Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability.
• Leverage AI-powered tools for automated failure analysis, root cause identification, and test flakiness scoring.
• Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact.

Skills

AI for testing

Autonomous testing agents

Test architecture

Python

CI tools

Test analysis

Communication

C++ basics

AI/ML training

AI testing certifications

Tools

Jenkins

GitLab

TeamCity

AWS

Job description

Roku is seeking a Software Engineer (SDET) to advance our AI-enabled testing strategy. You’ll collaborate with software and QA engineers to design intelligent analysis systems that identify quality gaps and predict failures, using AI and analytics to raise the bar on test effectiveness.

The role emphasizes scalable testing, production reliability, and strong collaboration across teams. Ideal candidates have 4+ years in test architecture, 3+ years Python, familiarity with CI tools, and knowledge