Principal, System Product Engineer

About the role

This role focuses on AI workload-driven product development, test strategy, and production readiness. The candidate will 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Contribute to and own test firmware development aligned with system-level test and product requirements.
• Cross-functional leadership, working with Design, System, FW, TE, HW, SW, Quality, and Operations teams.
• Deliver clear executive-level updates grounded in data and system insights.
• 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 employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. 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.