SSD Component Quality EngineerLocation: Fremont, CA (Onsite)Required Qualifications1. SSD fundamentals: Basic understanding of SSD architecture and operation, including endurance/wear-out mechanisms, performance/latency characteristics, and reliability behavior.2. Interfaces & protocols: Working knowledge of PCIe and NVMe, including PCIe link concepts (e.g., LTSSM) and NVMe I/O operation basics.3.
NVMe tooling & triage: Ability to execute common Linux/NVMe commands for device triage and management (e.g., collecting SMART/log pages, format operations, firmware download/update workflows, lsblk and related utilities).4. NVMe spec literacy: Familiarity with key portions of the NVMe specification relevant to reliability/quality monitoring, including interpretation of Critical Warning, health/reliability indicators, and log-page data.Data Analysis & Reporting Requirements1. Monitoring & response: Experience reviewing SSD health/performance alerts and dashboards, prioritizing issues by severity/impact, and initiating appropriate investigative actions.2.
Issue triage & prioritization: Ability to perform Pareto-style analysis to identify highest-impact problem categories, gather supporting evidence, and drive structured triage.3. Bulk data analysis: Capability to analyze large sets of SSD telemetry (e.g., SMART attributes, reliability counters, performance metrics) to identify outliers, anomalies, and error trends.4. Technical reporting: Proven ability to communicate findings in a clear, professional format, including summary, conclusions, impact assessment, and recommended next steps.Software / Automation Requirements1.
Scripting: Working knowledge of shell scripting for automation of data collection, triage workflows, and repeatable validation routines.2. Data tooling: Familiarity with one or more analysis/query tools such as JMP and/or SQL (or equivalent), and the ability to use them to extract and analyze operational datasets.Preferred Qualifications (optional to include)Prior exposure to SSD validation, failure analysis, or quality engineering workflows in a lab or production environment.Experience building lightweight dashboards or automated reporting pipelines for health/performance telemetry.