Build and own the test automation of the platform enabling continuous quality assurance. Leverage AI agents and latest technologies for optimal test automation.
Own the responsibility for the team to achieve its quality targets:
80% quality issues caught directly during the development cycle by automated tests. Manual tests are only focused on the 20% edge cases.
90% customer facing releases and patches are shipped without any quality delays.
Establish and maintain prioritized QA roadmap aligned with VP Engineering objectives, ensuring QA team focuses on highest-risk areas, with clear ownership.
Implement standardized and shared quality playbook adopted across 100% of product areas, documenting defined risk categories, acceptance criteria, and test requirements for each domain.
Reduce average bug resolution time by 30% through joint triage, severity evaluation and validation processes.
Requirements
Strong QA experience (6 year +) in complex technical software (CAE, CAD, PLM, simulation, or similarly demanding systems)
Applied depth in AI and agentic tools for QA and test automation, with curiosity for innovation and the ability to use it thoughtfully for meaningful impact.
Field knowledge in Mechanical Engineering, Physics and Machine Learning
Reasoning deeply about product behavior to influence QA decisions
Seamless collaboration with developers and leadership, communicating clearly, pragmatically, and with impact.
Ownership of problems end-to-end and taking responsibility for the quality of what users ultimately experience.
A strong team spirit and builder mindset, ready to understand what our users need, deliver under uncertainty and push the boundaries of what’s possible.
Tech Stack
Python
Benefits
We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.