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Quality Engineer - Job Description and Responsibilities
The Quality Engineer will be responsible for supporting and maintaining quality processes across production, development, suppliers, and customer-related activities.
Main Responsibilities
Define, write, and oversee quality inspection and testing activities, including IQC, IPQC, and OQC, in both production and development environments. Manage nonconformance processes, including MRB activities, CAPA follow-up, and customer complaints. Write, update, and implement quality procedures, work instructions, and quality-related documentation. Prepare the organization for ISO 9001 audits and lead internal and external audit activities. Support supplier quality management, including supplier performance monitoring, quality issues, and corrective actions. Monitor final product and process performance, analyze quality data, and report abnormal trends or recurring issues. Work closely with Engineering, Production, Supply Chain, and R&D teams to ensure effective implementation of quality requirements. Drive continuous improvement activities to improve product quality, process stability, and compliance. Work at the Science Park in Rehovot

The Quality Director will be responsible for defining, implementing, and driving quality systems, processes, and culture across the entire organization from product definition and R&D through engineering, operations, manufacturing, supplier management, and customer support.


Responsibilities:
Quality Management system
* Own and continuously improve the company's Quality Management system (QMS).
* Ensure compliance with ISO 9001 and other applicable industry standards.
* Develop, implement and maintain company-wide quality policies, procedures and work instructions.
* Lead internal and external quality audits and ensure timely closure of findings.
* Drive management reviews and quality performance reporting. Product Development Quality
* Integrate quality methodologies into the product development lifecycle.
* Partner with R&D and engineering teams to establish Design for Quality (DfQ) practices.
* Participate in design reviews, risk assessments, FMEA activities and product qualification.
* Ensure appropriate validation and verification processes are implemented. Manufacturing & Operations Quality
* Establish quality controls throughout manufacturing and production.
* Define inspection plans, acceptance criteria, and process controls.
* Monitor manufacturing yield, reliability, and field performance.
* Lead root cause investigations using structured problem-solving methodologies (8D, 5-Why, Fishbone, etc.).
* Drive corrective and preventive actions (CAPA).
* Own product quality throughout the entire product lifecycle, from product development through manufacturing and customer deployment. Supplier Quality
* Develop supplier qualification and monitoring processes.
* Conduct supplier audits and performance reviews.
* Work closely with contract manufacturers and component suppliers to ensure consistent quality.
* Drive supplier corrective actions and continuous improvement initiatives. Customer Quality
* Lead customer quality responses and investigations.
* Manage customer complaints and field quality issues.
* Support customer audits and quality assessments.
* Develop quality metrics that improve customer satisfaction and product reliability. Quality Culture & Continuous Improvement
* Promote a company-wide culture where quality is everyone's responsibility.
* Train employees on quality systems, best practices, and continuous improvement methodologies.
* Define, monitor and continuously improve Quality KPIs that drive operational excellence. Leadership
* Build and mentor the Quality organization as the company grows.
* Collaborate across R&D, Engineering, Operations, Supply Chain and Executive Leadership.
* Serve as the company's quality advocate internally and externally.

We are looking for a hands-on, highly analytical System Failure Analysis Engineer to lead end-to-end investigations into complex product and manufacturing failures.

In this role, you will act as the technical owner of failure investigations-from the initial symptom and data analysis, through laboratory reproduction and multidisciplinary debugging, to root-cause identification, corrective actions, and final closure. The position combines hands-on laboratory work, system-level analysis, production support, and close collaboration with Hardware, Software, Firmware, Mechanical, Quality, NPI, and Manufacturing teams. You will investigate failures in advanced multidisciplinary systems that integrate electronics, optics, mechanics, embedded software, firmware, ASICs, PCBAs, and complex manufacturing and test processes.

Responsibilities

Lead end-to-end investigations of system and production failures, from initial symptom to root-cause identification and closure.
Perform hands-on debugging and failure reproduction in laboratory and production environments.
Analyze failures involving hardware, software, firmware, mechanics, optics, and manufacturing processes.
Work closely with R&D, Eng, Quality, and Manufacturing teams to define corrective actions.
Analyze production and test data to identify recurring failure trends and yield issues.
Support field-return, reliability, and manufacturing failure investigations.
Prepare clear technical reports and present investigation findings to relevant stakeholders.
Improve failure-analysis methods, tools, and documentation.

Required SOC Quality and Reliability Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our data centers are the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving quality and reliability processes from the integrated circuit perspective. You will create silicon and follow it into the field (and back) to drive improvements for the next generations of chips.
You will have an understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.

Responsibilities
Drive the strategic definition and development of design-for-reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge/latch-up (ESD/LU), biased highly accelerated stress test (b/HAST), etc.) and conduct failure analysis to resolve quality issues.
Extract and analyze data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, time-dependent dielectric breakdown (TDDB), negative bias temperature instability (NBTI) to predict device failure mechanisms and lifetime behaviors.

Required SoC Quality and Reliability Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. This is an opportunity to create silicon and follow it into the field (and back!) to drive improvements for the next-generations of chips.
In this role, you will understand Integrated circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure robust silicon and package verification.
Execute comprehensive silicon and package qualification programs (including HTOL, ELFR, ESD/LU, b/HAST, etc.) and conduct in-depth failure analysis to resolve quality issues.
Extract and analyze large-scale data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, TDDB, NBTI) to predict device failure mechanisms and lifetime behaviors.

Required Senior SoC Hardware Quality and Reliability Engineer
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
We're the driving force behind our groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Own technical specifications, architectural definitions, and physical power-on of custom qualification vehicles (HTOL load boards, ESD fixtures, latch-up rigs). Drive external layout vendors to achieve seamless electrical correlation with ATE environments.
Govern execution quality of applied stresses, define electrical, thermal, and telemetry parameters on test vehicles to ensure uniform, valid stress profiles without unintended overstress or setup artifacts.
Lead the end-to-end engineering delivery lifecycle for qualification hardware, map and drive critical cross-functional dependencies across internal validation and product engineering teams to ensure on-time readiness.
Serve as the primary technical interface for external PCB layout houses, fabrication shops, and component suppliers; manage design reviews, track lead times, and enforce delivery schedules.
Lead laboratory troubleshooting for qualification hardware anomalies; isolate setup/socket faults from true silicon failures and drive supplier corrective actions (CAPA) when board excursions occur.

Required SOC Quality and Reliability Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. You will have an opportunity to create silicon and follow it into the field and back to drive improvements for the next-generations of chips.
You will have an understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis is expected. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. You will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.
The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind our groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Lead the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Establish and direct the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge and latch-up (ESD/LU), and biased highly accelerated stress test (b/HAST)) and conduct in-depth failure analysis to resolve quality issues.

Key Responsibilities
Lead New Product Introduction (NPI) processes from prototype to serial production Collaborate with R&D, Design, and system Engineering teams to ensure Design for Manufacturability (DFM) and Design for Serviceability Develop and implement manufacturing processes, work instructions, and production documentation Support tooling design, TEST equipment, and production line setup Drive process validation and first article inspections (FAI) Identify and resolve production issues, root cause analysis, and corrective actions (CAPA) Manage Engineering Change Orders (ECO) and ensure smooth implementation in production Work closely with suppliers to ensure component quality and availability Improve production efficiency through lean manufacturing and continuous improvement initiatives Support integration, testing, and troubleshooting of UAV systems (mechanical, electrical, and Embedded systems) Ensure compliance with quality standards and regulatory requirements