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Mid-level metro role with specialized CAE/CAD and AI automation skills reduces general applicant competition.
Requires CAE/CAD, mechanical engineering and ML domain knowledge, limiting cross-industry transferability.
Explicit 6+ years, CAE/CAD domain expertise, AI-driven automation and CI/CD prerequisites.
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Own and build test automation infrastructure to enable continuous quality assurance for the platform using AI agents and latest technologies.
Accountable for team quality targets: 80% of quality issues caught during development via automated tests; 90% of releases shipped without quality delays.
Establish and maintain QA roadmap prioritizing highest-risk product areas and implement a standardized quality playbook across all product domains.
Minimum 6 years of strong QA experience in complex technical software such as CAE, CAD, PLM, simulation, or similar.
Applied experience with AI and agentic tools for QA and test automation.
Technical skills including automation, CI/CD, python scripting, Playwright automation, and software performance testing.
Field knowledge in Mechanical Engineering, Physics, and Machine Learning.
Experienced in managing QA for fast-evolving, complex technical software products requiring rigorous validation.
Strong technical foundation with a focus on automation and AI-driven testing solutions to improve efficiency and reliability.
Able to collaborate effectively across teams and lead QA initiatives end-to-end, taking full ownership of user experience quality.