Principal, System Product Engineer

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

Focus: AI workload-driven product development, test strategy, and production readiness

Why This Role: Full system-stack ownership, direct executive visibility, and the opportunity to define — not just follow — product development strategy.

Lead system-level product development for AI infrastructure platforms, using workload-driven and data-informed validation to ensure product quality, yield, and readiness from definition through ramp. You will operate across compute, memory, storage, and connectivity subsystems — driving system-level integration and early bring up before full platform maturity.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

System Product Ownership

• Own end-to-end system product development across product development stacks for AI infra products.
• Drive early system learning through simulation-based validation before hardware, firmware, and silicon maturity
• Translate product requirements into workload-driven validation strategies, linking real workload behavior to system-level coverage and product quality

AI-Enhanced Test Strategy & Validation

• Define test strategies using workload-informed coverage and data-driven screening
• Use AI-assisted analysis to identify coverage gaps and optimize test efficiency
• Use AI-assisted workflows to accelerate test code development, including spec-to-code generation and automated validation
• Partner with Test Engineering to deliver scalable and robust production test solutions

System Validation & Failure Analysis

• Lead system-level failure analysis across NPI and qualification phases
• Debug issues across hardware, firmware, and system interactions
• Correlate system-level workload behavior to component-level stress and failure mechanisms to improve coverage and yield

Data-Driven Yield Optimization

• Analyze large-scale test data to identify yield limiters and detect anomalies
• Drive data-informed decisions, including practical use of ML-based classification where appropriate

Test Firmware

• Contribute to and own test firmware development aligned with system-level test and product requirements

Cross-Functional Leadership

• Act as product development lead working with Design, System, FW, TE, HW, SW, Quality, and Operations teams
• Deliver clear executive-level updates grounded in data and system insights

AI-Enabled Engineering Practices

• Leverage AI tools to accelerate analysis, debug, and test development workflows
• Promote best practices in AI-assisted engineering across the team

Qualifications

Education

• BS/MS/Ph.D. in Electrical Engineering, Computer Engineering, Computer Science or related field

Experience

• 6–12+ years in system product engineering, validation, or test development

Technical Skills

• Strong understanding of system architecture across compute, memory, storage, and interconnects
• Proficiency in Python and C/C++
• Experience with data analysis, failure analysis and yield optimization

Key Traits

• Strong product ownership and system thinking across multiple domains
• Data-driven decision maker
• Hands-on coder or effective AI workflow orchestrator — non-negotiable
• Ability to define methodology, not just follow existing playbooks

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or emp