Software Foundation Data & Compute Senior SQA Engineer

ASML•San Jose, CA

29d•$140,250 - $210,375•Hybrid

About The Position

The senior lead SQA engineer is responsible for leading validation activities for shared Data & Compute platform capabilities across multiple products. The role focuses on validating new functionality and platform enhancements in areas such as Data Pipelines, Infrastructure Services, MLOps, UI Frameworks, Recipe Management, and related platform components. The position owns progression testing strategy, execution, and quality assessment for new developments, ensuring functional, performance, and reliability requirements are met before handoff to regression validation teams. The role works closely with Product Owners, Architects, Software Engineers, Data Engineers, Infrastructure Engineers, and MLOps teams throughout the product development lifecycle. As a technical lead, the individual provides technical direction, drives validation innovation, contributes to design reviews and technical decisions, and mentors engineers within the team.

Requirements

Master's degree in Computer Science, Software Engineering, Electrical Engineering, Information Engineering, Data Engineering, or a related technical field.
Minimum 8 years of relevant experience in software engineering, software quality engineering, system validation, or related disciplines.
Experience completing at least one full product development cycle.
Proven experience leading complex technical activities and mentoring engineers.
Strong knowledge of software quality engineering and validation methodologies.
Understanding of Data Pipelines, Infrastructure Services, Compute Platforms, and MLOps.
Experience with test automation, integration testing, and system validation.
Knowledge of Linux, databases, networking, distributed systems, and software architecture.
Strong analytical, troubleshooting, and problem-solving capabilities.
Technical leadership and mentoring skills.
Strong written and verbal communication.
Ability to work across multiple disciplines and organizations.
Proactive, results-driven, and quality-focused mindset.

Nice To Haves

Experience in semiconductor equipment or high-tech systems.
Experience with Data Platforms, Compute Platforms, Infrastructure Services, or MLOps.
Experience with distributed systems, automation frameworks, and CI/CD environments.

Responsibilities

Take technical ownership of progression validation activities for common platform capabilities.
Lead complex validation efforts and provide technical guidance to engineers.
Identify technical risks, quality concerns, and mitigation plans.
Contribute to architectural discussions, design reviews, and technical decision-making.
Define and execute progression testing strategies for new features and platform enhancements.
Develop and maintain validation plans, test scenarios, and quality metrics.
Verify functionality, performance, reliability, and usability against requirements and design specifications.
Identify, track, and drive resolution of software defects and quality issues.
Ensure readiness for handoff to regression validation teams.
Design and execute validation activities for: Data Pipelines and Data Management services, Compute and Infrastructure platforms, MLOps workflows and model deployment pipelines, CI/CD and platform integration services, UI Frameworks and user workflows, Recipe Management and execution systems.
Drive development of automated validation solutions and test frameworks.
Improve coverage, efficiency, and maintainability of validation processes.
Identify opportunities to enhance quality engineering practices and tools.
Support integration of platform services and validate cross-system interactions.
Perform root-cause analysis for complex technical issues.
Collaborate with development and operations teams to resolve product and customer issues.
Document validation approaches, risks, results, and technical decisions.
Communicate findings effectively to stakeholders.
Coach and mentor engineers and promote best practices across teams.