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We are now looking for a Senior Chip Design Engineer to join our Switch Silicon team. As a Chip Design Engineer in our Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What You'll Be Doing:

Work in a design/verification team which develops core units within the Switch silicon.

Micro-architecture of rtl verification environments planning for units and modules.

Design RTL of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.

RTL synthesis, timing, supporting verification, and silicon post TO activities.

Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW.

We are looking for a Formal Verification Engineer for our Networking team!

This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch and GPU technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies that are in the heart of th AI revolution. Our team delivers world class Chips solutions for HPC, AI infrastructures, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. we have the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.

What you'll be doing:

In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.

You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our core technology.

You will take part in the AI revolution led by us, working on cutting edge architecture.

We are looking for a Senior Chip-Design Verification Engineer to join our Network Adapter Silicon group. As a Senior Verification Engineer at NVIDIA Networking Silicon team, you will join a group of passionate engineers to design and implement the next generation state-of-the-art Networking Silicon chips. In this position, you will make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:

Work in a combined design and verification team which develops core units within the Networking silicon.

Build reference models, verify and simulate chip blocks/entities according to specifications and performance requirements.

Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, FW and Post-Silicon validation.

We are looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.

In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams.

What you'll be doing:

Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design).

Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues.

Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks.

Taking part in flows development and deployment.

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 the DFT Senior Engineer, you will play a crucial role in DFT Architecture and DFT design, and support devices of extreme complexity to production. You will be responsible for providing technical leadership in DFT, developing flows, automation, and methodology, planning DFT activities, tracking the DFT quality matrix throughout the project lifecycle, and providing sign-off DFT to tapeout.
The ML, Systems, & Cloud AI (MSCA) organization at our company's designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company's 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's 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
Lead and execute activities in the design, implementation, and verification of DFT solutions for large-scale Application-Specific Integrated Circuits (ASIC).
Develop DFT strategy and architecture, including hierarchical DFT, Memory Built-In Self Test (MBIST), and Automatic Test Pattern Generation (ATPG).
Work with other Engineering teams (e.g., Design, Verification, Physical Design) to ensure that DFT requirements are met and mutual dependencies are managed.
Manage the DFT team's workload and deliverables, provide technical leadership and guidance to the team.
Lead DFT execution of a silicon project - planning, execution, tracking, quality, and signoff.

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.

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.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our company platforms, we make our company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Define and implement solutions for complex design, integration and verification problems using in-house and external technical solutions or tools. Ensure chip quality by implementing best practices and implementing quality control measures.
Involve in project development and convergence with the highest quality, handle issues as they arise through design and implementation.
Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

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
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.

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 work with internal system teams and the System-on-Chip (SoC) Architecture team to develop an understanding of the SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model SoC performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
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 simulators and architectural models of general-compute SoCs.
Collaborate with system architects, SoC and IP architects/designers, and software and application experts to understand current and future requirements.
Participate in architectural and design evaluation of SoC designs.
Perform pre-silicon performance simulation and correlate with post-silicon measurements.
Communicate analysis results qualitatively and quantitatively.

About the job
The company's Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Customer Engineering Manager, you will lead a team of sales engineers who engage with business prospects to discover and assess customer requirements, prepare and present demonstrations of our companys Cloud services, address and overcome technical objections that arise throughout the business process.
our company's Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company's Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead a team of Customer Engineers and build a thriving growth culture. Focus on talent strategy and skills development to deliver on successful cloud transformation outcomes for our customers and accelerate business goals for your territory.
Foster partnerships with key customers across the book of business. Provide leadership related to cloud, transformation and relevant industry trends.
Partner with our company's Cloud Sales leadership to define technical go-to-market strategies and execution plan for the team's book of business.
Balance technical leadership with operational excellence; lead workload and opportunity review meetings and provide insight into how to achieve a technical agreement and migration strategy, working directly with our customers, partners, and prospects.
Work cross-functionally across our company, our partners, and our team to resolve technical roadblocks including capacity needs, constraints and product tests affecting customer satisfaction.

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 work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.
The ML, Systems, and 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
Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other our company Software teams.

About the job
When leading companies choose our company Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use our company Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales our companyrs by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company Cloud products.
As a Customer Engineer, you will work with technical business teams as a machine learning subject matter expert to differentiate our company Cloud to our customers. You will help prospective customers and partners understand the power of our company Cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. You will also have the opportunity to help customers to leverage specialized Machine Learning (ML) hardware developed by our company, called Tensor Processing Unit (TPU). You will work with customers and product development to shape the future of the platform.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide Machine Learning (ML) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
Work with customers to demonstrate our company Cloud product integrations in customer/partner environments.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company Cloud.
Travel to customer sites, conferences, and other related events as needed.

About the job
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Lead the architecting, designing, developing, testing new features, as well as maintaining and improving the product.
Lead and develop features based on GenAI technology.
Contribute to the research, coding and testing efforts.
Help set the agenda for the product roadmap and technical direction.
Collaborate with teammates and across job functions (e.g., Product Managers, UX) as well as working with different teams developing other Migration Center components and services.

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.