Description:We are seeking a skilled QA Engineer to join our team working on a project that uses machine learning (ML) and artificial intelligence (AI) to generate test data for hardware testing processes. The role focuses on testing the software responsible for creating this test data, ensuring its accuracy, reliability, and performance. You will collaborate closely with software developers, AI/ML specialists, and other QA engineers to build a robust quality assurance framework for this data generation software.
Requirements:Bachelor's degree in Computer Science, Engineering, or a related field.
3+ years of professional experience in QA testing for software systems.
Strong experience in manual and automated testing with knowledge of automation tools (e.g., Selenium, Cypress).
Familiarity with ML/AI software and experience testing systems that generate or manipulate data.
Proficiency with test automation frameworks, Python and C#.
Experience in testing data-driven applications and ensuring data quality and integrity.
Understanding of CI/CD pipelines and version control systems (e.g., Git).
Analytical and problem-solving skills with attention to detail.
Preferred Skills:Experience with machine learning models and testing their output.
Familiarity with big data tools and validation techniques for handling large data sets.
Nice to have prior experience in 5G, LTE, 6G, RAN, Wifi, RF propagation.
Job Responsibilities:Develop, execute, and maintain test plans, test cases, and test scripts for software that generates test data.
Ensure the correctness and consistency of ML/AI-generated test data used in hardware validation processes.
Automate tests for the software components responsible for data generation and ensure they meet performance and quality standards.
Collaborate with development teams to define testing requirements and ensure comprehensive test coverage.
Perform functional, regression, and performance testing to validate the software's reliability in generating test data.
Report, track, and manage software bugs and issues using issue tracking software (e.g., JIRA).
Test the integration of ML models within the data generation pipeline to ensure accurate and effective data production.
Analyze test results and work with development teams to identify improvements and resolve issues.
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What We OfferEmpowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people's lives.
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About GlobalLogicGlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.
By integrating experience design, complex engineering, and data expertise-we help our clients imagine what's possible, and accelerate their transition into tomorrow's digital businesses.
Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries.
GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.