d-Matrix · 1 month ago
Senior Staff Product Quality and Reliability Engineer
Santa Clara, CA
Full-time
Hybrid
Senior Level, Lead/Staff
7+ years expd-Matrix is focused on unleashing the potential of generative AI to power the transformation of technology. They are seeking a Senior Staff Product Quality and Reliability Engineer to establish and refine a robust quality and reliability framework across product and manufacturing processes, ensuring high-performing hardware from design through delivery.
AI InfrastructureArtificial Intelligence (AI)Cloud InfrastructureData CenterSemiconductor
Responsibilities
Collaborate with Product Development and Design Engineering teams to define critical product quality characteristics and ensure manufacturability and testability are embedded into designs (DFQ)
Establish product-specific quality metrics, test plans, and inspection criteria to ensure adherence to specifications and customer expectations
Drive a comprehensive reliability plan during design, development and mass production phases comprising DFMEAs, reliability predictions (MTBF, MTTR, Availability, AFR)
Develop Reliability Demonstration Tests (RDT, ORT) – resources, infrastructure and test plans in collaboration with Design and hardware operations
Contribute to product qualification tests (structural and environmental tests)
Analyze product performance data from reliability testing, field trials, and early customer feedback to identify trends and drive improvements
Develop, implement, and maintain robust quality control plans and processes
Utilize statistical process control (SPC) and other analytical tools to monitor manufacturing process stability, capability, and performance
Develop IQC, OQC, OBA on products at manufacturers and suppliers
Collaborate with product engineers to drive systematic fixes to issues during NPI, especially for customer-facing issues
Drive stop-ships as needed. Lead teams during major quality events
Conduct comprehensive supplier assessments, audits, and capability for new and existing suppliers. Conduct audits of manufacturing processes and quality systems to ensure compliance with established standards and best practices
Monitor, analyze, and report on key supplier quality performance metrics (e.g., PPM, OTD, SCAR response time, audit scores)
Develop and implement supplier quality agreements, specifications, and quality plans
Partner with Manufacturing Engineering to optimize production processes for quality, ensuring consistent output and defect reduction
Act as a primary point of contact for analyzing RMA data, field returns, and warranty claims for hardware products
Lead cross-functional teams in deep-dive investigations of returned units, coordinating failure analysis (FA) and identifying root causes
Translate data into actionable insights for design enhancements, manufacturing process improvements, and serviceability
Monitor/communicate key metrics (e.g., return rates, MTBF) and proactively drive initiatives to improve product reliability and customer experience
Qualification
Required
A bachelor's degree in electrical, mechanical, or industrial engineering is the foundational requirement
7+ years of experience working with ODM (Original Design Manufacturer) or OEM (Original Equipment Manufacturer) relationships
Manufacturing Process Quality: Knowledge of PCB, PCBA, system assembly, and testing with strong understanding of applying quality engineering principles
Product Development Lifecycles: Understanding the various stages a product goes through from conception to EOL
Quality planning in manufacturing, ensuring no escape from manufacturing (DFQ)
Reliability Prediction: Estimating the likelihood of a product functioning correctly over time
Design for Reliability (DFR): Incorporating reliability considerations from the earliest stages of product design
ORT (Ongoing Reliability Test) / RDT (Reliability Demonstration Test) Development: Designing and implementing tests to assess and confirm product reliability
Statistics related to Quality and Reliability: A robust background in statistical analysis is essential for data-driven decision-making in quality and reliability engineering
Root Cause Analysis: The ability to identify the underlying reasons for process and functional failures, using data from logs, tests, and other sources
Applied Statistics, Reliability modeling, Design of Experiments, Weibull analysis, JMP, Large-Scale Data Analysis, ASQ certifications (CQE/CRE)
Preferred
A master's degree in a related field is preferred, indicating a desire for deeper theoretical knowledge and advanced problem-solving capabilities
Nice to have skills: SQL, Understanding of Linux environment, Python scripting
Company
d-Matrix
D-Matrix is a platform that enables data centers to handle large-scale generative AI inference with high throughput and low latency.
51-200 employees
H1B Sponsorship
d-Matrix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (15)
2023 (8)
2022 (7)
Funding
Current Stage
Growth StageTotal Funding
$429MKey Investors
Temasek HoldingsTSVC
2025-11-12Series C· $275M
2023-09-06Series B· $110M
2022-04-20Series A· $44M
Leadership Team
Peter Buckingham
Senior Vice President, Software Engineering
Recent News
2025-12-22
2025-12-17
Crunchbase News
2025-12-10
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