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.
Excellent communication and leadership skills, with the capability to bridge efforts across development and QA teams to ensure quality and timely project delivery.
Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality.
Serve as a trusted advisor to your peers and junior QA engineers, fostering a culture of accountability, quality, and continuous learning.
Requirements
Bachelor s or master s degree in computer science, Engineering, or a related field with 12+ 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
Exceptional analytical, problem-solving, and communication skills.
A self-driven, detail-oriented mindset with an ability to judiciously hold teams accountable.
Comfort working independently in a fast-paced, dynamic environment.
Skills Required
Cuda, Opencl, Python, C
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Sr Qa Engineer • Hyderabad / Secunderabad, Telangana
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