Senior Engineer- System Integration Testing/MLOps

CompanyQualcomm India Private LimitedJob AreaEngineering Group, Engineering Group > Software EngineeringGeneral SummaryGeneral Summary:System Integration and Test — Machine Learning for EDA SystemsMinimum Experience: 3+ years in software integration testing in ML projectsMinimum QualificationsBachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.ORPhD in Computer Science, Engineering, Information Systems, or related field. Role OverviewWe are looking for a seasonedsenior/lead software QA engineerwith3-7 years experiencein integrating testing, quality assurance ofML software platformsin the realm of Electronic Design Automation (EDA). You will work in cutting-edge initiatives thatfuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows. Key ResponsibilitiesDesign, develop, and execute test plansand test cases for ML-based software algorithms.Validatethe accuracy, reliability, and performanceof ML models integrated into software products.Collaborate with software developers and data scientiststo understand algorithm requirements and expected behaviors.Develop automated testing frameworks for regression, functional, and performance testing of ML components.Analyze test results,identify defects, and work with development teams to resolve issues.Ensure proper data handling, preprocessing, and validation for ML model inputs and outputs.Test software across multiple coding languages and platforms as required.Document test procedures, results, andbest practices for ML algorithm validation.Monitor and report on model drift, accuracy degradation, and edge cases in production environments.Experience with CI/CD pipelines, quality assurance standards, and system scalability from prototype to production.Help in automation and optimization in EDA flows.Establish and maintain comprehensive ML Ops infrastructure, supporting continuous training, deployment, and monitoring. Required Skills & ExperienceStrong experience insoftware testing and QA processesfor at least 3 yearsin ML domain.Proficiency in one or moreprogramming languages(e.g., Python/Java) andLinuxsystems.Knowledge ofautomated testing frameworks(e.g., pytest, unittest, Selenium).Good knowledge withML concepts, algorithms, andmodel evaluation metrics.Knowledgeof full-stack containerized deployment strategies, enabling ML applications to function across diverse environments.Solid grasp of CI/CD tools (e.g., GitLab, Jenkins) andworking knowledge on MLOpsplatformsand tools (e.g., MLflow, Kubeflow, Airflow).Skilled in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes).Sharp communication skills with a track record of cross-functional collaboration. Preferred QualificationsMS or PhD in Computer Science, Electrical Engineering, or a related field.Consistently takes responsibility for tasks and outcomes, proactively drives projects to completion, and demonstrates accountability in delivering high-quality results.Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. 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