דרושים » ייצור ותעשייה » Data Center Chief Engineer

As a Field Engineer, you will provide full life-cycle support to our Data Centers from design inception through site improvement and maintenance. You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:

- Perform design and equipment submittal review for new Data Centers in your region.
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
- Interface with internal data center operations team, data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
- Develop innovative solutions for our data centers.
- Work on concurrent projects, sometimes in multiple geographical regions.
- Initiate and lead engineering audits including on-site visits within our data centers. Produce reports outlining risks with recommended mitigations and remediations.
- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

As a Field Engineer, you will be leading projects to fit out our data centers to meet ever-evolving customer needs as we continue expanding our fleet to hyper-scale. As an ideal candidate you:

- Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty/ambiguity.
- Are detail and data oriented.
- Have experience solving problems with engineered solutions.
- Have experience managing engineering projects and consultants.
- Build trust and relationships with different stakeholders (e.g., Operations, Controls, Construction, Design, Commissioning, Product Managers, Technical Program Managers).
- Are adaptable and inclined to get into the field to see things up close.
- Excited about a mix of office and field work.

As a Critical Infrastructure Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
- Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
- Work on concurrent projects, sometimes in multiple geographical regions.
- Initiate and lead engineering audits including on-site visits within our owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediations
- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

The Israeli Quantum Computing Center (IQCC) is a cutting-edge national facility supporting quantum computing research and development for both academia and industry. The IQCC is managed and operated by our company, the global leader in quantum computing control systems. Our state-of-the-art lab includes advanced infrastructure with several dilution refrigerators and a wide array of quantum and classical devices.
We are seeking a Facility & lab Manager to join our growing team. This pivotal role combines hands-on technical lab management with responsibility for infrastructure and operational oversight.
Role Description and responsibilities
Responsible for managing the daily operations of the labs, including overseeing the workflow, assisting IQCC team and external users in conducting complicated experiments, maintaining equipment and infrastructure and ensuring safety protocols.
Oversee day-to-day operations of the lab to ensure efficient workflow and transparency
Troubleshoot and resolve issues with equipment and/or infrastructure, arrange for repairs, and manage the labs maintenance schedule.
Implement operational best practices and procedures and ensure the laboratory is compliant with all safety and environmental regulations.
Support the IQCC team in operating and measuring superconducting quantum circuits in a dedicated lab, including mounting quantum processors into dilution fridges and setting up full experimental setups.
Maintain and upgrade inventory of lab equipment and supplies
Work with vendors, contractors, and facility management for service and support
support computing and communication infrastructure maintenance (including data handling and security).
Support visiting researchers, students, and industrial partners using the lab.

Our Infrastructure Specialists team seeks an Infiniband Network Engineer to help customers realize next-generation data center networks. You'll join a team working around the globe to build and deploy some of the most cutting-edge data center solutions in the world! This role will focus on automation and logical configuration of network devices and customer networks. We work with customers of all sizes, from small networks up to the world's largest and most sophisticated data centers and supercomputers. AI Factory Network Engineers deliver the technologies, solutions and services customers need to efficiently implement and run their networks. In this role, they are "The face of us to the customer," working in fast-paced, high-impact environments as meaningful contributors delivering on our commitments.

What you'll be doing:

Primary responsibilities will include building AI Factory infrastructure for new and existing customers.

Support operational and reliability aspects of large-scale AI clusters with a focus on performance at scale, real-time monitoring, logging, and alerting.

Engage in and improve the whole lifecycle of servicesfrom inception and design through deployment, operation, and refinement.

Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

Be the focal point for any networking-related escalations. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

About the job
A problem isnt truly solved until its solved for all. Thats why our companyrs build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at our company, youll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. Youll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
As a Technical Program Manager for Silicon Development, you will use your technical and management experience to lead the development and execution of complex, multidisciplinary SoC projects. You will plan programs and manage their execution from early concepts through development to tape-out and production. You will collaborate closely with architecture, design, verification, physical implementation and manufacturing teams throughout the SoC execution life cycle. This includes making technical decisions for the chip designs and methodology, driving project schedules, identifying risks and communicating them to all stakeholders, and managing partner teams.

The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Plan, coordinate, and deliver custom silicon products.
Assess complexity and scope out the project, generate task lists, build a project timeline and work with the teams to make it into reality.
Lead the data-driven schedules and milestones, track the progress, proactively identify potential future issues, and identify mitigations with the team leaders.
Drive technical, budgetary, and schedule trade-off discussions with cross-functional teams.
Manage project execution and issues through design, development, test, manufacturing, deployment and sustaining activities for silicon and hardware products.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
In this role, you will help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-specific integrated circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, assisting in the hardware and lab bring up, and verification of our ASIC systems.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
Create tooling and automation to support emulation Electronic Design Automation (EDA) tools, licensing, and job management in our company infrastructure.
Support emulation team members with debugging hardware, tooling, and project specific issues.
Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms, and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
As a SoC Product Engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing and mission-mode operation. You will work to support the machinery that goes into our data centers affecting our company users.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Develop and implement strategies for high volume manufacturing of SoC products, including troubleshooting, ATE test coverage optimization, DPPM reduction, Test cost reduction, power and performance assurance, and product data integration and correlation between system, ATE, and System Level Test (SLT).
Drive interactions with wafer fabs and OSATs, own and drive checkpoints for key quality metrics.
Drive volume ramp and mass production through test program releases, volume data analytics, lot disposition, extended test time reduction, yield improvement, and RMA handling.
Collaborate with cross-functional teams across the globe including ATE and SLT Test Engineering, Q&R, Packaging, Supplier Management and Operations to build, deploy, and maintain a high volume manufacturing screening solution.
Support setup and maintenance of test, diagnosis, and yield analysis infrastructure, including RMA support.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
In this role, you will use Application-Specific Integrated Circuit (ASIC) design to be part of a team that creates the System on a Chip (SoC) design cycle from start to finish. You will collaborate with design and verification engineers in projects, creating architecture definitions with Register-Transfer Level (RTL) coding, and running block level simulations. You will contribute in ASIC designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis and more to specify and deliver high quality SoC/RTL. You will also solve technical problems with micro-architecture and solutions, and evaluate design options with performance, power, and area.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Define the SoC/block level design document such as interface protocol, block diagram, transaction flow, pipeline, etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Communicate and work with multi-disciplined and multi-site teams.

we are the global leader in control systems for quantum computing, providing the hardware and software tools researchers and businesses need to build quantum computers from the ground up. We are assembling the strongest team of professionals in the world with the goal of revolutionizing how quantum computers are built and controlled while accelerating their arrival. Come join a multi-disciplinary, world-class team and work on a new class of problems at the cutting edge of technology, science, and business.
We are seeking a highly skilled Senior Board Design Engineer to join our Product Engineering Team. In this role, you will be responsible for designing and debugging test boards used in the validation and production of our hardware products. You will work closely with cross-functional teams to ensure high-quality test infrastructure and support the production process by analyzing failures and implementing corrective actions.
Key Responsibilities:
Design and develop digital and mixed-signal test boards, including schematic design, layout, and validation.
Debug complex digital boards with components such as microcontrollers, CPUs, and FPGAs.
Develop and test FPGA-based solutions for test and measurement applications.
Work closely with mechanical and software engineers to integrate test systems.
Support production yield improvement, failure analysis, and corrective actions implementation.
Collaborate with manufacturing and quality teams to ensure seamless production processes.
Create documentation, test procedures, and design reviews to support product lifecycle management.

We are hiring a Solution Architect to customer-facing teams supporting different technical areas such as IB/ETH networking, DPU, Cloud infrastructure DevOps, HPC/AI workloads, and customer success. In the process, you will have the opportunity to become a specialist in our enterprise products including the DGX/HGX systems, and networking DPUs and switches, as well as our developer software platforms including our Omniverse, our HPC and AI. It may also be possible to rotate with our program management or engineering teams. Are you ready for the challenge?

What youll be doing:
Be responsible for the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using our technologies.
Partner with Build and Program Management teams to support AI Factory deliveries globally.
Establish close technical ties to the customer account, establishing personal relationships to facilitate rapid resolution of customer issues.
Work closely and collaborate with the customer account team, other Solution Architects, and/or product engineering teams during quarterly rotation assignments.
You will raise and provide timely advance warning of critical customer issues that require additional attention.
Present platform solutions to customers, partners, community, etc.
Some rotation assignments might require up to 15% travel.