Principal Engineer, Reliability Engineering at Sandisk

Sandisk

Bengaluru, KA, in·15h ago

SeniorFull-time

Salary Range

$26,520 - $35,880 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are seeking a Reliability & Quality Engineer to serve as the technical authority driving end-to-end reliability strategy, architecture, and systemic quality excellence for NAND-Flash-based storage products. This role involves working across memory, firmware, product line, test engineering, and global manufacturing teams to ensure world-class reliability and product robustness across the entire product lifecycle.

Key Responsibilities

→Define and own the reliability architecture for next-generation storage solutions (SD, USB, SATA, PCIe/NVMe, SSD, UFS, e-MMC).
→Develop comprehensive reliability qualification plans, life-prediction models, and stress methodologies tailored for advanced NAND nodes.
→Lead definition of reliability KPIs, guardbands, and risk-mitigation strategies for new technologies.
→Provide deep technical leadership in NAND characterization, endurance/retention modeling, ECC margining, and FW-system interaction analysis.
→Collaborate with global factory teams on drive builds, reliability screens, mechanical tests, and production-level quality improvement programs.
→Act as the technical leader across memory, FW, ASIC, product engineering, quality, and program management teams.
→Drive innovation in predictive reliability modeling, data-driven stress optimization, and FW-based adaptive reliability management.
→Mentor Staff/Senior engineers on reliability fundamentals, debug techniques, and system behavior.

Requirements

✓Deep technical expertise in reliability engineering and quality assurance.
✓Strong cross-functional leadership and the ability to influence architectural decisions.
✓Experience with NAND-Flash technology and storage solutions.
✓Knowledge of reliability KPIs, guardbands, and risk-mitigation strategies.
✓Experience with predictive reliability modeling, data analysis, and failure analysis.
✓Ability to lead complex investigations and systemic corrective actions.
✓Experience with manufacturing reliability and quality improvement programs.
✓Strong communication and collaboration skills.