What are the responsibilities and job description for the iOS Mobile Testing Engineer (Siri Speech) position at MethodHub?
iOS Mobile Testing Engineer (Siri Speech)
Location: Cupertino, California
Duration: 12 months
The client is seeking a quality engineer to build sound and robust quality strategies for Siri Speech and exceed our customer expectations. In this role, you will be responsible for shipping world-class user experiences and act as the voice of our end-users. As a Quality Assurance Engineer in the Siri Speech Quality Engineering team, you will support the testing of multiple features and drive for quality via hands-on functional testing of user-facing features and systems for Siri. The fast-paced nature of the job requires someone who can work well under pressure and quickly adapt new technologies into effective audio testing. We are seeking someone who is intensely curious yet focused on delivering results in a timely manner. An eye and ear for quality is a requirement.
Responsibilities:
- Develop test plans, assess risk, file appropriate defects, and provide relevant data for test reporting.
- Identify critical areas to test for new features.
- Triage problems, prioritize accordingly, and propose a resolution.
- Present complex test data; present and communicate test reports.
- Able to work independently, raise issues and take corrective action.
Minimum Qualifications:
- Experience: 3–5 years of industry experience in software quality assurance, testing, or SDET roles.
- Familiarity with Apple OS platforms, debugging, or profiling tools.
- Experience in audio testing, software user experience testing, isolating issues.
- Strong problem solving and debugging skills along with a diligent mindset.
- Technical Skills: Expert programming and automation skills in Python, Swift.
- System Integration Testing: Collaborating with cross-functional teams to test Siri across iOS, watchOS, tvOS, and visionOS applications.
- AI/ML Quality Assurance and Prompt engineering: Testing Siri's voice recognition, natural language processing, and AI-driven features (including LLM-based tools) for accuracy, robustness, and performance.
- Possess excellent written and verbal communications skills in English.
- Education: BS/MS in Computer Science or equivalent.
Salary : $60 - $65