Principal Engineer, Web Applications Test Architect at Sandisk

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Testing, Test Strategies, Model Validation, Data Quality, Automated Testing, CI/CD, Ethical Standards, Mentoring, Performance Testing, Machine Learning, Python, MLOps, Bias Detection, Cloud Platforms, Data Science, Neural Networks

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Job Description Job Description We are driving innovation in artificial intelligence by building scalable, intelligent solutions that empower businesses to solve complex problems. We are seeking a Principal Test Engineer with deep hands-on experience in AI testing to lead quality assurance efforts, improve model performance, and ensure robust, trustworthy AI solutions. Key Responsibilities: Lead the development of comprehensive test strategies and frameworks for AI-powered systems, models, and applications. Collaborate with AI research teams, data engineers, and software developers to define test requirements and coverage for AI models and data pipelines. Design and implement test cases that validate model accuracy, fairness, robustness, interpretability, and edge-case handling. Identify, troubleshoot, and resolve issues related to data quality, model drift, and performance degradation. Develop automated testing pipelines that integrate with continuous integration and delivery (CI/CD) environments. Ensure that AI systems meet ethical, compliance, and privacy standards through rigorous validation and testing. Mentor and coach team members in AI testing methodologies and best practices. Evaluate and recommend tools, platforms, and frameworks that enhance AI testing capabilities. Stay updated with industry trends, emerging AI technologies, and testing innovations to continuously improve testing stratey Drive and take ownership of Stress, Scalability, and Performance (SSP) testing, including planning, execution, defect management, and reporting. Lead the design, development, and maintenance of operations dashboards for web applications to ensure performance visibility and actionable insights. Qualifications Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software testing, with at least 3 years focused on AI system testing. Hands-on experience testing machine learning and AI models, including validation of datasets, algorithms, and model outputs. Strong knowledge of AI techniques such as supervised learning, unsupervised learning, neural networks, and reinforcement learning. Familiarity with AI frameworks such as PyTorch, scikit-learn, or equivalent. Proficiency in scripting languages like Python, R, or others used in AI testing. Understanding of metrics for model evaluation (precision, recall, F1 score, AUC, etc.). Experience with automation frameworks, test orchestration tools, and cloud platforms (AWS, Azure, GCP). Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with bias detection and mitigation, fairness testing, and explainability frameworks. Knowledge of MLOps and embedding testing within AI deployment pipelines. Familiarity with regulatory requirements related to AI systems Work Environment: You will be part of a fast-paced, collaborative environment where quality is a shared responsibility. This role provides opportunities to define testing best practices across the organization and influence the technical roadmap for QA. Additional Information Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Responsibilities

Lead the development of test strategies for AI-powered systems and collaborate with various teams to define test requirements. Ensure AI systems meet ethical standards and mentor team members in testing methodologies.