Job DescriptionLevel: 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.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
AI Workload Modeling & Generation- 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
Simulation-First 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
AI-Assisted Test Infrastructure- 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
Firmware & Test Content Development- Develop workload-aware test firmware aligned with system-level use cases
- Enable functional coverage based on real workloads, not synthetic-only scenarios
Data & AI-Driven Insights- Build pipelines for data collection, failure classification, and pattern detection
- Apply ML techniques where appropriate for anomaly detection and failure clustering
System Correlation- 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
QualificationsEducation- 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
Compensation & Benefits Details- An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs.
- The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future.
- You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance. Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
- We offer a comprehensive package of benefits including 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, and the Sandisk's Savings 401(k) Plan.
- Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
