Responsibilities -

• Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams.
• Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals.
• Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices.
• Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated.
• Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly.
• Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration.
• Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration.
• Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality.
• Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements.
• Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development.
• Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams.
• Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects.
• Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality.

Requirements

• Bachelor’s or master’s degree in computer science, Engineering, or a related field with 6+ yrs of related experience
• Demonstrated hands-on development expertise with practical experience in coding, debugging, and designing validation strategies.
• Deep understanding and experience with unit testing frameworks (such as JUnit, NUnit, LCOV, or similar code coverage tools).
• Extensive knowledge of CI/CD pipelines, unit testing frameworks, automated testing tools, and functional testing methodologies.
• Strong proficiency in SDK development and validation—proven ability to create and execute comprehensive test strategies that ensure robust and reliable APIs and libraries.
• In-depth understanding of AI/ML concepts and practical testing experience in data-driven, machine learning environments.
• Exposure to advanced test automation frameworks and willingness to explore new testing paradigms involving AI/ML and GPU-optimized processes.
• Hands-on experience working with GPU environments and optimizing tests for performance on hardware-accelerated systems.
• Strong proficiency in working within Linux environments (Ubuntu, CentOS, etc.).
• Familiarity with GPU computing technologies (e.g., ROCm, CUDA, OpenCL) for performance-critical applications.
• Demonstrable expertise with Docker containerization practices. Exposure to additional container orchestration tools like Kubernetes.
• Prior experience with AI/ML frameworks such as TensorFlow or PyTorch.is a plus
• Advanced scripting and programming skills in languages such as Python, C/C++, or similar

• Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams.
• Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals.
• Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices.
• Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated.
• Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly.
• Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration.
• Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration.
• Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality.
• Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements.
• Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development.
• Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams.
• Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects.
• Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality