דרושים » תוכנה » Senior Silicon Security Architect

We are currently seeking a Senior Silicon Security Architect.
we are seeking a technical leader interested in defining, crafting, implementing, and guiding the implementation of security research, architecture, implementation, and design for next-generation our company Networking products. You'll be expected to take a strong hands-on role, working with diverse teams across our company and with external partners to meet security requirements for our state-of-the-art network products.
What you'll be doing:
Research, design, develop and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.
Apply innovative hardware security primitives to enable next generation secure software extensions supported by hardware.
Collaborate with partners on the implementation of open-source software.
Collaborate across the company to guide the direction of Silicon security, TEE, working with hardware, software, research and product teams.
Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.
Work with customers, partners to identify and address security issues and threats.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technologyand outstanding people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an worker , youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
we are seeking a network security research architect who is interested in a chance to define, research, and implement next-generation security features for data centers networks. The position will take on a lead role, working with teams with varied strengths across our company and with external partners to research security requirements for networking products.
What you'll be doing:
Lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents in the network.
Apply innovative security primitives to enable secure platforms.
Collaborate across external and internal hardware and software research teams.
Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing proof-of-concepts secure platforms.
Research network telemetry for supporting secure networking platforms confidentiality, integrity, and availability.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's an outstanding legacy of innovation that's fueled by great technologyand outstanding people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As an worker, youll be immersed in a diverse, encouraging environment where everyone is motivated to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking an experienced Malware Research Architect who can design and implement advanced malware detection systems using Virtual Machine Introspection (VMI) techniques. The ideal candidate should have deep expertise in developing out-of-VM security solutions that can detect and analyze sophisticated malware, rootkits, and other cyber threats by introspecting and reconstructing volatile memory states of guest operating systems and file system states. Strong knowledge of file systems, and hypervisor technologies is essential. The candidate will craft automated malware detection systems that use VMI and file system techniques to predict early signs of malware execution and accurately classify unknown threats.
What you'll be doing:
Lead, research, design, develop and implement solutions for next-generation secure networks.
Develop novel introspection, memory forensics, and file system methods to extract critical security events towards threat detection.
Collaborate with external and internal hardware and software research teams to apply extracted events for advanced malware detection.
Architectural modeling, validation, microarchitectural definition, and developing proof-of-concepts secure platforms.

Join our company and Shape the Future of AI Infrastructure.
At our company, our inventions are the engine of accelerated computing and modern AI. Our work powers everything from groundbreaking scientific research to the generative AI applications transforming our world. We believe that our people are our greatest strength, and we're looking for a skilled PCIe Firmware Engineer to join our team and help our customers succeed.
In this role, you will be a critical link between our pear team / QA / Application and the PCIe FW design team. You will have a direct impact on our business and technology by solving sophisticated technical challenges and ensuring our customers can build the next generation of supercomputers and AI fabrics.
What you will be doing:
Solve complex problems: Investigate, debug, and resolve challenging PCIe firmware issues for our most important customers, serving as their trusted technical expert.
Collaborate across teams: Partner with our Chip Design, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.
Influence product development: Translate customer needs and field data into actionable feedback that directly shapes the future of our products.
Share your knowledge: Help improve our team's processes and contribute to our knowledge base, making everyone more effective.

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 customers, 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 and implement solutions for 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.
Participate in project development and convergence with the highest quality, and manage issues as they arise through design and implementation.
Connect between RTL design, physical design, Design for Test (DFT), external IPs and SoC while maintaining project priorities.
Maintain project infrastructure and stability.

Our technology has no boundaries! we are building the worlds most groundbreaking and state-of-the-art accelerated computing platforms. Because of our work, scientists, researchers, and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest-paced computer users in the worldscientists, designers, artists, and gamers.
We seek a highly motivated Senior AI Network System Architect to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for a wide range of critical activities, from deep technical analysis and performance modeling to strategic architectural studies, ensuring our company continues to innovate and lead.
What Youll Be Doing:
Define, develop, and execute cutting-edge benchmarks and workloads to analyze system performance, identify bottlenecks, and drive optimizations across our hardware and software stack.
Drive the direction of our future products by performing deep-dive analysis of system architectures and solutions to assess their performance, efficiency, and value proposition.
Develop and validate sophisticated performance and network simulation models, correlating them with real-world hardware to predict and analyze the behavior of future systems.
Analyze and optimize the entire AI stack, including communication libraries (like NCCL) and system software to the underlying network fabric, developing Proof-of-Concepts (POCs) for new features and improvements.
Conceptualize next-generation networking architectures driven by emerging DL and AI technologies.
Collaborate with multi-functional teams, including other architecture teams, logic design, system software, firmware, and DL research teams, to ensure the successful execution of our vision.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (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. 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 customers, 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
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

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 part of our server chip design team, you will use your ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate closely with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
In this role, you will contribute in all phases of complex application-specific integrated circuit (ASIC) designs from design specification to production. You will collaborate with members of architecture, software, verification, power, timing, synthesis and etc. to specify and deliver high quality SoC/RTL. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind.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 customers, 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 block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog, VHDL), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
Technical Leadership and mentor team members.
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 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 be part of a team developing ASICs used to accelerate networking in data centers. You will have dynamic, multiple 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 knowledge.
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 customers, 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
Lead a complex ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define high-performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.
Collaborate closely with software, verification, and physical design stakeholders to ensure the designs are complete, correct, and performant.

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 our company possible.
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 customers , 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 SOC software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software architecture teams, SOC performance modeling team, and other company software teams.