Principal, System Product Engineer

SandiskMilpitas, CA
$142,080 - $235,359Onsite

About The Position

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. 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.

Requirements

  • 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

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
  • 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

Benefits

  • paid vacation time
  • paid sick leave
  • medical/dental/vision insurance
  • life, accident and disability insurance
  • tax-advantaged flexible spending and health savings accounts
  • employee assistance program
  • other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
  • tuition reimbursement
  • transit
  • the Applause Program
  • employee stock purchase plan
  • Sandisk's Savings 401(k) Plan
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