לוח משרות דרושים הייטק אבטחת איכות QA ברחובות, לחיפוש זה נמצאו 15 משרות

We are looking for an experienced SW QA Engineer to join an Agile, multidisciplinary team.
In this role, you will be responsible for hands-on SW quality assurance of our complex multidisciplinary systems, with a strong focus on system-level and manual testing.
The role requires hands-on use of AI-assisted tools in day-to-day QA activities, including test design and generation, failure investigation, data analysis, efficiency improvement, and AI-assisted test automation.
Automation or scripting background is an advantage.
Responsibilities
Act as an active QA member within an Agile development team.
Be involved throughout the software development and release lifecycle, including Beta testing at customer sites abroad.
Develop strong expertise in our systems and identify quality and product risks during software development.
Define and plan testing strategies for our software.
Create and maintain high-level and detailed test plans and test scenarios.
Execute system and software tests to validate software quality and release readiness.
Define, maintain, and continuously improve regression coverage.
Plan and execute Beta testing activities at customer sites.
Investigate failures, perform root-cause analysis, and work with relevant stakeholders on corrective actions.
Use AI-assisted tools to improve QA activities, including planning, test design, test creation, risk analysis, failure investigation, data analysis, documentation, and selected test automation.

Required Quality & Reliability Lead
What we are looking for:
The Quality & Reliability Engineer is responsible for driving product quality, manufacturing excellence, and reliability performance across our products and operations.
Working closely with Engineering, Manufacturing, Supply Chain, Service, and R&D teams, this role leads quality and reliability initiatives that improve process capability, manufacturing yields, product robustness, and customer satisfaction through data-driven decision making, structured problem solving, and continuous improvement methodologies.
The role is also expected to leverage AI and advanced analytics tools to accelerate insights, improve decision making, and enhance operational effectiveness.
Responsibilities
What will you be doing:
Responsibilities - Quality:
Lead quality improvement initiatives focused on yield enhancement, defect reduction, process stability, and continuous improvement across DMD operations.
Establish and maintain Statistical Process Control (SPC) and drive process capability analysis using statistical methods and data-driven quality metrics.
Lead root cause investigations utilizing methodologies such as 8D, 5 Why, Fishbone Analysis, Pareto Analysis, DOE, and FMEA.
Drive NCR, CAPA, and corrective action processes, identify trends, prioritize actions using evidence-based analysis, and verify effectiveness of implemented solutions.
Partner with Manufacturing, Engineering, Service, and Customer Support teams to resolve product quality issues, customer complaints, field incidents, and escalations.
Collaborate with suppliers to improve quality performance, drive supplier corrective actions, and reduce supplier-related quality risks.
Conduct supplier audits and assessments, including evaluation of manufacturing controls, process capability, inspection methods, and process discipline.
Review supplier quality documentation including CoC, CoT, ATR, inspection records, and quality reports to identify risks, trends, and improvement opportunities.
Lead internal and external audits, ensuring compliance and effective corrective actions.
Responsibilities - Reliability:
Partner with Engineering and R&D teams to define reliability qualification plans, test strategies, acceptance criteria, and reliability requirements for new and existing products.
Ensure reliability testing programs are properly executed and that test results are systematically reviewed, analyzed, and translated into actionable improvements.
Partner with Service and analyze reliability, field performance, MTBF, and MTTR data to identify trends, emerging risks, and improvement opportunities.
Lead investigations of reliability failures and support identification of physical, mechanical, electrical, optical, material, and process-related failure mechanisms.

Required SoC Test and Product Engineer Lead, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our data centers are the most advanced in the world. In this role, you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high volume manufacturing at wafer fabs and outsourced semiconductor assembly and tests (OSATs). You will have an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. You will help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices.
You will drive yield improvement, cost optimization and work closely with cross-functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will need to have a strong understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will work with various groups to deploy screening methodologies and flows for data processing, analytics and diagnostics. You will drive the release of cost effective production test solutions into mass production to hit yield and quality goals.
Responsibilities
Develop and implement strategies for high-volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, defective parts per million reduction, test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and SLT.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and return merchandise authorization managing.
Drive product leadership for silicon engineering organization from architectural definition to global availability.
Collaborate with cross-functional teams across the globe including ATE and SLT test engineering, quality and reliability, packaging, supplier management and operations to build, deploy, and maintain a high volume manufacturing screening solution.