לוח משרות דרושים ייצור ותעשייה בתל אביב יפו, לחיפוש זה נמצאו 292 משרות

We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025.
Job description:
Assemble and install electro-mechanical systems according to technical and engineering specifications.
Troubleshoot technical issues in real-time during the assembly process.
Follow specifications and work instructions, maintaining compliance with quality and safety standards.
Work under pressure and coordinate tasks with other team members and departments.

Were looking for an experienced and proactive Project Manager to join our growing team. In this role, you will take ownership of project setup, execution, and ongoing system maintenance, ensuring our clients receive seamless onboarding, reliable performance, and long-term value. You will lead cross-functional teams, balance multiple priorities, and drive project success through strong organization, communication, and problem-solving.

Responsibilities
Project Setup, Onboarding & Transition: Lead the project from kickoff through full implementation at the clients site. Ensure smooth transition, on-time delivery, and a high-quality onboarding experience. Coordinate with internal teams to guarantee readiness of resources, data, and tools.
Ongoing Stakeholder Communication: Act as the projects operational owner, managing setup of the system, client requests, system issues, and optimizations. Monitor system stability and performance to ensure long-term reliability and value. Drive improvements in workflows, resolving recurring bottlenecks and risks.
Cross-Functional & Stakeholder Management: Serve as the main point of contact for internal and external stakeholders (Customer Success, Support, Operations). Maintain transparency, responsiveness, and alignment across all project phases.
Issue & Risk Management: Proactively identify potential risks in the process, bottlenecks, recurring issues, or client dissatisfaction. Escalate appropriately and work cross-functionally to identify root causes.
KPI Tracking & Performance Monitoring: Define, track, and report on key performance indicators (KPIs) to measure project success and team performance. Use insights to drive accountability and continuous improvement.
Continuous Improvement: Conduct monthly result analyses, draw insights from experiences, and strive to achieve the Delivery department's goals. Analyze and optimize delivery workflows to improve efficiency and scalability.

The Business Process Manager is responsible for orchestrating strategic projects and operational infrastructure within the Customer Office. Acting as the engine of the department, this is a unique thinker-doer role that connects high-level strategy to the data-driven realities of our daily operations.

We are looking for a hybrid, process-oriented professional, part Strategic PMO and part Business Operations strategist, to design and lead the initiatives that empower our Customer Success and Delivery teams.

This is an internal-facing position, not a customer-facing role. It is designed for a professional who thrives on turning complex operational friction into streamlined, repeatable, and scalable workflows.

Your mission is to improve how we deliver, support, and scale world-class customer experiences. You will ensure our service standards are codified, measurable, and consistently exceeded as we grow.

Key Responsibilities
Strategic Initiative Execution: Take full ownership of the end-to-end delivery of key initiatives within the Customer Office. You will drive complex and diverse projects-such as new service delivery models or cross-departmental technical integrations-with precision and speed.
Internal Consulting & Discovery: Act as an internal consultant by independently conducting research on new concepts and technical subject matter. You will perform root-cause analysis on operational friction points to propose "best-in-class" solutions.
Business Impact Tracking: Define and track success metrics for specific initiatives, correlating internal process improvements to external customer outcomes (e.g., reduction in churn or increased speed-to-value).
Change Execution: Lead the "internal launch" of new processes or tools, ensuring clear communication, documentation, and high adoption rates across all affected teams.
Risk & Dependency Management: Proactively identify "blind spots" between departments, managing dependencies to ensure that internal technical shifts don't disrupt the customer experience.
Operational Visibility: Define and monitor KPIs. You will build and maintain the dashboards that provide the visibility and accountability necessary for data-driven decision-making.

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.