דרושים » הנדסה » System Integration Engineer, SPIV team

We are seeking for System Integration Engineer to help define, shape, and integrate solutions for the next generation of our cloud platforms. As System Integration Engineer youll join Annapurnas product system team, which develops advanced technologies used across AWS data centers, supporting services like Nitro and Graviton. You will take ownership of end-to-end system interfaces (e.g., PCIe, Ethernet, DDR) throughout the product lifecycle, from concept to post-deployment debugging.

Key job responsibilities:
1. Setting interface design strategies.
2. Ensuring optimal design implementation.
3. Driving complex system debugs involving hardware, firmware, and software components.
4. Providing leadership to raise quality standards.

We are looking for an experienced engineer for the Nitro cards product team. Our products include the most advanced interfaces and technologies and widely used across our data centers as backbone for Nitro and other services. The candidate will serve as expert for Nitro HW power domain - ensuring best design, integration and operational health for power domain for our Nitro cards in our data centers.

As a member of a product team you will own complex system debugs involving HW, FW and SW components. You will deal with functional and integration aspects related to complex systems focusing on the power domain related to Nitro HW. You will be involved in architecture decisions, integrations, deployments and debugging related to complex systems while also providing remote and on-site support to our global colleagues.
You will also provide leadership by driving the teams around you to raise the bar and deliver higher quality product on behalf of our customers. This is a fast-paced, intellectually challenging position, and you will work with thought leaders in multiple areas of technology. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of products and services you own. We are changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities:
- Lead triage, debug and root cause analysis of Nitro HW Power domain related issues in our systems (card / system level).
- Enhancing the ability to trouble shot issues and driving for closure of in-fleet problems.
- Analyze customers` mode of work / requirements and provide resolutions accordingly.
- Co-work with Annapurna Labs monitoring team and other root cause teams to improve quality and reliability of products operation in the fleet.
- Provide Annapurna Labs Board, ASIC and system design, SW and testing development, QA and architecture teams information and requirements from customers fleet operation perspectives and represent the customer voice.
- Drive and maintain trainings, quality documentation and collateral in order to improve in-fleet operation.
- Design and define various tools and scripts to provide support to projects and customize it as per requirement.
- Willing to travel per need few times a year.

We are seeking for Platform Integration Engineer to own the development, testing, and monitoring of the manufacturing health of our Graviton server products. You will be part of a team integrating new silicon, hardware, firmware, and software into a revolutionary system architecture.

Key job responsibilities:
Lead product integration from definition phase through mass production, including: Hardware-Firmware integration and validation, development and implementation of manufacturing test flows, system validation and qualification and production readiness verification.
Define and implement screening test content for both production line and data-center environments.
Drive continuous improvement of operational health monitoring and debugging capabilities.
Collaborate with cross-functional teams to resolve integration and production issues.
Implement test flows for improving product operational health at manufacturing sites.
Integrate knowledge and data from customers and data sources for fast resolution of operational issues.
Maintain quality documentation and collateral in order to improve manufacturing operations.
Travel to manufacturing sites as needed (approximately 3-4 times per year, 1 week duration per trip) to support integration, validation, and operational improvements.

Our K2Core SW team is looking for a Lead System Test Engineer to define and execute the system validation strategy for the Nitro K2 card. In this technical leadership role, you will own the system-level test definition, drive cross-functional validation efforts, and ensure the end-to-end quality of our Nitro K2 card components deployed across our data centers.

This is a hands-on technical leadership role that requires expertise in embedded systems, hardware/software integration, and test automation at scale. You will work closely with HW, firmware, software, testing and platform teams across us to ensure test coverage, platform integration reliability, and production readiness.

Key job responsibilities:
Define and execute the system-level test and validation strategy for the Nitro K2 card across hardware, firmware, software and platform layers.
Lead the design and development of automated test frameworks to support scalable validation and continuous integration.
Collaborate with hardware, firmware, software, and platform teams to define validation coverage, interfaces, and testability hooks.
Own root cause analysis and debug strategy for complex, cross-subsystem integration issues originating from the production fleet.
Lead and execute hands-on system testing, and participate in the release decision process for production deployment.
Mentor and guide automation engineers, promoting a culture of system-level testing and continuous quality improvement.

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. 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 System on a Chip (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, SystemVerilog), function/performance simulation debug and Lint/CDC/FV/UPF 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.

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.

About the job
Be part of a diverse 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 work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and verification closure. You will verify digital designs and collaborate with design and verification engineers in projects and perform direct verification. You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full lifecycle of verification which can range from verification planning, test execution or collecting, and closing coverage.
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 the verification of digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog or formally verify designs with Strategic Value Add (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

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 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.
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 execute comprehensive validation plans for our company's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation and/or FPGA platforms.
Lead the debugging and resolution of complex silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.