System Product Engineer or Recent Graduate

Job Description

Level: Senior / Staff

Focus: AI workload modeling, simulation-first validation, and scalable test infrastructure

Why This Role:
Build foundational infrastructure — simulation, automation, and AI-assisted workflows. Small team, high impact, and the opportunity to shape how system test development is done.

Build AI-native validation and test infrastructure enabling early system learning and workload-driven validation across the product lifecycle, reducing dependency on late-stage integration environments. You will operate across compute, memory, and storage subsystems, enabling correlation between real workloads and system behavior.

• Develop and analyze AI workloads, focusing on memory access characterization, and data movement behavior
• Generate trace-based and synthetic stress patterns for system-level validation

• Build lightweight simulation and emulation environments (e.g., QEMU-based system models and customized modeling) for early validation and scalable development environment
• Map workload to test prior to hardware availability
• Reduce dependency on full-system emulation/real hardware through independent, scalable frameworks

• Build C/C++/Python-based automation frameworks with parallel execution, structured logging, and scalable data pipelines
• Build and maintain spec-to-code pipelines: convert product specifications into structured formats for AI-assisted code generation and automated validation
• Integrate AI tools for test content generation, debug acceleration, and log analysis

• Develop workload-aware test firmware aligned with system-level use cases
• Enable functional coverage based on real workloads, not synthetic-only scenarios

• Build pipelines for data collection, failure classification, and pattern detection
• Apply ML techniques where appropriate for anomaly detection and failure clustering

• Map workload behavior to system stress and device-level impact, enabling translation between real workloads and production test coverage
• Correlate across compute, memory, and storage subsystems

Education

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or Computer Science

Experience

• 0–5+ years in validation, modeling, infrastructure development, or related fields
• Fresh PhD graduates with relevant research experience are encouraged to apply

Technical Skills

• Strong Python skills; C/C++ a plus
• Experience or research background in system modeling, simulation, or workload analysis
• Understanding of data movement and performance behavior across system components
• Ability to rapidly absorb complex system architecture and translate understanding into engineering artifacts

Key Traits

• Builder mindset — tools, frameworks, infrastructure
• Strong system and data intuition
• Hands‑on coder or effective AI workflow orchestrator — non‑negotiable
• Comfortable working in ambiguous, early‑stage environments

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 race, color, ancestry, religion, sex, gender, age, national origin, sexual orientation, medical condition, marital status, physical disability, mental disability, 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 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…