לוח משרות דרושים Senior Hardware Engineer

Microsoft is building the fastest and most reliable networks for cloud computing and for emerging workloads such as AI/ML. Microsoft Azure is one of the largest public cloud platforms worldwide, providing a great channel for product impact that touches the lives of millions of users daily. Microsofts partnership with world leaders in AI technology provides unparalleled opportunities for innovation at the cutting edge of high-performance computing and networking.

Our team has delivered Azure Boost and we are now looking for talented hardware verification engineers to join our team, developing Azures next generation networking devices.

Microsofts innovative approach for hardware/software co-design leverages custom-designed hardware to offload and accelerate many types of computations and functions of the Azure network. Our vertical work environment offers an unparalleled opportunity to define end-to-end features, implement & test them, and then deploy your work and see how it is used at cloud scale!

Come join us and be challenged daily as you build advanced hardware/software acceleration solutions for some of the worlds largest datacenter networks and AI supercomputers. This is a great opportunity to join a team that has built some of the largest scale cloud systems ever deployed and learn from the very best
Responsibilities
Own and lead the development of complicated hardware units and test environments, based on deep understanding of customer requirements, functionality, and system architecture.
Design and implement RTL in System Verilog, and VIP, test benches, and verification infrastructure in System Verilog UVM.
Develop and execute test/coverage plans to verify hardware designs and reach cloud-grade quality.
Interact with software developers and system-validation platforms, as part of the verification/validation flow.
Oversee and train junior engineers and take leadership roles on large projects.
Occasional on-call responsibilities for resolving customer issues in production.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google 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, SystemVerilog), function/performance simulation debug and Lint/CDC/FV/UPF checks.
Participate in synthesis, timing/power closure and 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.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 be part of a team developing Application-Specific Integrated Circuit (ASIC) used to accelerate networking in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.

You will be responsible for performance analysis for an end-to-end networking stack using your infornation of RDMA based transports.

The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Participate in evaluation of future ASIC designs and general architecture for executing Googles data center networking roadmap: off-the-shelf components, vendor co-developments, custom designs, and chiplets.
Collaborate in developing new layer protocols for data center networking.
Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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 Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google 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 Google 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.

You'll join our Cisco Silicon One architecture team, central to silicon development at Cisco.

You will define features of future devices using the latest silicon technologies, focusing on Logic Design and coding.

You will be responsible for defining the device specification.


Who You'll Work With:

Join Ciscos Silicon One team within Ciscos ASIC group. Contribute to next-generation networking devices - Cisco Silicon One.

Work in a startup atmosphere within a stable corporation.
Collaborate in a design center hosting all silicon HW and SW development disciplines on one site.
Transform the industry with AI networks, providing a unified, programmable silicon architecture for Cisco's future products.