Software engineer - AI-Enabled Python Validation

About this role

SanDisk develops advanced flash and memory technologies that empower people and businesses to store, access, and manage data. Our globally recognized products are built on innovation, performance, reliability, and quality. We foster a culture of ownership, collaboration, continuous improvement, and technological excellence.

Join SanDisk's Storage Validation Engineering team and help deliver high-quality software solutions for validating next-generation flash storage products.

In this role, you will develop AI-assisted Python automation solutions, analyze product and protocol requirements, execute validation on storage devices, investigate complex failures, and contribute to release qualification. You will work closely with software, firmware, validation, and release teams across India, Israel, and the United States.

This position is ideal for engineers who enjoy Python development, AI-assisted engineering, system-level debugging, Linux and Windows environments, and working close to hardware.

Responsibilities

• Understand product requirements, technical designs, and storage protocol specifications.
• Create comprehensive validation strategies including functional, negative, integration, stress, recovery, and regression scenarios.
• Plan, design, develop, review, and maintain automated validation solutions using Python and AI-assisted engineering tools.
• Validate storage features, software enhancements, and bug fixes on physical storage devices.
• Execute sanity, functional, integration, performance, and regression test campaigns.
• Analyze logs, reproduce failures, and isolate issues across test frameworks, host software, firmware, operating systems, and device layers.
• Report defects with clear reproduction steps, logs, configurations, and technical findings.
• Verify fixes and provide evidence-based quality sign-off.
• Contribute qualified tests to automated sanity and regression suites.
• Collaborate with globally distributed development, validation, and re...