Sr. SW Test Engineer - Runtime (5-8 years)

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.

We are looking for a Senior SW Test Engineer to validate AI SW Stack on a high-performance runtime system for a next-generation AI computational storage product, responsible for scheduling, memory management, and execution of AI workloads.

• Validate runtime components including - Device initialization and lifecycle, Command dispatch and execution queues, Kernel scheduling and synchronization
• Validate memory allocation, data movement and DMA behavior, conduct memory leak detection and resource utilization analysis
• Build and execute performance benchmarking - Latency (including time-to-first-result), Throughput and pipeline efficiency
• Perform stress, concurrency, and multi-device scaling tests, profiling to identify performance bottlenecks
• Develop end-to-end tests for model execution workflows, Execute and maintain smoke and regression test suites. Build automated validation pipelines and performance dashboards