Principal, System Product Engineer

Requirements

• 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
• Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.a

Additional Information

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

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Sandisk? Share your experience