Principal System Product Engineer

Job Description

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

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.

• 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.

• 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.

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

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

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

• 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.

• 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.

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…