QA Automation Engineer

National Computer Systems; Piscataway Township (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

National Computer Systems seeks a QA Automation Engineer to design and implement automated testing frameworks for complex pathology algorithms. You will collaborate across teams to align on scope, and work closely with imaging scientists to validate performance and accuracy.

You will also build reusable tools for end-to-end verification and participate in design reviews. The role requires hands-on experience with Selenium, Playwright, Python, and TypeScript, and a solid understanding of agentic

Qualifications

• Experience building automated testing suites and frameworks.
• Strong knowledge of Selenium and Playwright.
• Familiarity with agentic AI concepts and related MCPs.

Responsibilities

• Develop automated testing suite and framework for Roche Digital Pathology algorithms (Selenium, Playwright, Python, TypeScript).
• Apply agentic AI concepts and understand skills, agents, MCPs.
• Collaborate with cross-functional leads to align on scope and release timelines.
• Work with imaging scientists to analyze algorithms and verify performance and scientific accuracy; troubleshoot issues.
• Develop reusable and scalable tools/libraries for component and end-to-end verification.
• Participate in requirements, architecture, and design reviews.
• Assist in dry runs and formal verification testing.

Skills

Python

TypeScript

Automation testing

Data analysis

Troubleshooting

Collaborative teamwork

Agentic AI concepts

Tools

Selenium

Playwright

Job description

QA Automation Engineer Santa Clara CA - Onsite

• Develop automated testing suite & framework for Roche Digital Pathology algorithms (Technologies - Selenium, Playwright, Python, Typescript)
• Know strong Agentic AI concepts and have working knowledge of skill, agents, MCPs
• Collaborate with cross functional leads to align on work scope & release timelines
• Work closely with imaging scientists and subject matter experts to understand the algorithms and perform necessary data analysis to confirm technical performance specifications and scientific accuracy. Also, troubleshoot failures and report any identified issues.
• Develop reusable and scalable tools/libraries for component and end-to-end verification.
• Participate in requirements, architecture, and design specification reviews
• Assist in executing dry run and formal verification testing