We are looking for a QA Engineer to join our agile modeling software team.
In this role, you will be responsible for manual quality assurance of our products, which incorporate next-generation algorithms, machine learning, and multidisciplinary systems.
A background in automation is an advantage.
Responsibilities
What you will be doing:
Actively contribute as a QA Engineer within an agile modeling software team.
Be a focal point to collect the needed background and data to simulate high level tests that are close to customer need.
Participate in all phases of the software development and release lifecycle.
Develop deep QA expertise in our systems to identify risks and propose software quality improvements during feature development.
Define and implement testing strategies tailored to our software architecture and development goals.
Create, document, and execute both high-level and detailed test plans.
Collaborate with the team to define and maintain automated regression tests.
Plan and execute beta testing activities, including on-site support at customer locations when required.
Investigate test failures, analyze root causes, and define corrective actions.
Requirements: 3+ years of experience in scientific or engineering role (System engineer, Application Engineer, Algorithms validation, etc.)
Experience with programmingscripting (PythonC#VBOther) Advantage
High level of Excel usages for data processing and analyzing
Experience In testing multidisciplinary systems (complex SW & HW systems) preferred in semiconductor industry.
That special something you bring in:
Self-initiative, fast learner, highly motivated, committed and team player.
Ability to understand complicated systems and perform investigation within system components.
Drives and adopt a culture of continuous improvement within the tasks and the team.
Ability to travel abroad for beta sites.
This position is open to all candidates.