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Are you passionate about staying one step ahead of cyber threats? Do you thrive at the intersection of deep technical expertise and strategic leadership?
We're looking for an exceptional Offensive Security & Research Team Leader to drive cutting-edge offensive operations, lead a team of elite security professionals, and shape the future of cyber resilience.
In this role, you'll lead hands-on red team activities, threat research, and vulnerability discovery-pushing the boundaries of what's possible in cyber offense. You will work closely with product, engineering, and executive stakeholders to translate complex attack scenarios into real-world risk mitigation strategies.
This is more than a leadership position-it's an opportunity to build and scale a high-impact team at the forefront of the cybersecurity landscape.
Job Description:
Lead a high-performing offensive security team specializing in red teaming, threat emulation, advanced adversary simulation, and vulnerability research.
Mentor and grow team members, fostering a culture of continuous learning, innovation, and operational excellence.
Promote a culture of innovation, encouraging curiosity and technical excellence within the team.
Translate technical discoveries into operational insights that enhance offensive engagements and deliver clear value to clients
Collaborate cross-functionally with our cyber offensive and defensive teams
Develop and maintain internal tools and methodologies that enhance offensive capabilities, automation, and reporting accuracy.
Design and execute tailored offensive engagements, including full-scope red team operations, assumed breach scenarios, and social engineering campaigns.

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 experience to be part of a team that develops complex ASIC System-on-Chip (SoC) intellectual property from proof-of-concept to production. This includes creating IP Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to design flow and methodologies, including design generation automation. You will collaborate with members of architecture, software, verification, power, timing, synthesis design for testing etc. You will develop/define design options for 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 IP microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (coding and debug in Verilog, SystemVerilog).
Conduct function/performance simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SoC-level.

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.
Notifications are one of the most critical touchpoints our company has with its users-whether it is helping them find the right information, guiding them back to an app, or driving growth across the entire ecosystem. Our team is the engine room for all of this, responsible for building the data foundation that makes smart, reliable and high-quality notifications possible.
As a Software Engineer on the Notifications Analytics team, you will be a key player in solving some of the most complex, cross-functional challenges in our company's notification infrastructure.
The Core team builds the technical foundation behind our companys flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at our company. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across our companys products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Generate useful datasets for analyzing the quality of notifications sent by Apps.
Build tools for identifying and resolving data quality issues.
Work across teams, services and SDKs for supporting critical data needs and enabling key notification features.
Be the data expert and build understandable data flows.
Generate experiment analysis infrastructure and dashboards.

We are seeking a highly skilled and experienced Application Security Expert to join our dynamic team.

This role is pivotal in driving the security of our software development lifecycle and ensuring the robustness of our applications against potential threats. The ideal candidate will have a strong background in secure software development practices, including SSDLC implementation, and a deep understanding of security risks & tools.

Key Responsibilities
Contribute to design and implement a comprehensive Secure Software Development Lifecycle (SSDLC) framework.
Oversee the integration of security practices into all phases of the software development lifecycle, including CI/CD guardrails.
Conduct risk assessments and threat modeling to identify and mitigate potential security vulnerabilities.
Collaborate with development teams to ensure secure coding practices and adherence to security standards, while maintaining developer productivity.
Implement and manage security automation tools and processes to enhance the efficiency of security operations.
Stay up-to-date on the latest security trends, vulnerabilities, and technologies to continuously improve our security posture.
Provide expert guidance on security architecture and design for new and existing applications.
Promote a culture of security awareness and continuous improvement within the organization.

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 Senior Design Verification Engineer, you will be a part of Research and Development team to verify digital designs, develop constrained-random test environments and drive system testing to closure. You will collaborate with design and verification teams, manage the verification life-cycle and uncover bugs through corner-case testing.The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include our companyrs, our company Cloud customers, and billions of our companyusers worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop and refine random verification environments using SystemVerilog/UVM or Specman to ensure effective test coverage.
Define and implement various coverage measures to capture stimulus and corner-case scenarios.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.



Key Responsibilities
Design and build AI-driven internal tools that enhance developer productivity.
Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
Prototype and experiment rapidly, turning ideas into practical solutions.
Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
Define and track efficiency metrics to continuously improve developer velocity and experience.

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 our company Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.
Responsibilities
Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement solutions in one or more specialized Machine Learning (ML) areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

We seek a strong, motivated, and highly technical researcher who can be part of the Innovation & Research team.

With an R&D mindset, the research outcome will be integrated into products.

The position allows gaining extensive knowledge about security-related issues based on Machine Learning algorithms that would help to secure organizational networks, including IoT devices.

You will be able to directly impact protections against major vulnerabilities.

Key Responsibilities
Be part of the Innovation team that is responsible for Policy Insights and IoT security solutions.
Build ML/AI solutions together with a strong partnership with our engineering team.
Work with data throughout the entire pipeline from Data Engineering and Data Analytics to ML/AI models.
Collaborate with all the data & research-related groups within .
Developing and implementing protection mechanisms against diverse cyberattacks, while investigating IoT devices to analyze their network behaviours and integration within complex systems.
Productization & development of technologies from the POC stage into an enterprise-scale security solution.
Work closely with other development teams, QA, product management, and customers.

In this role you will be responsible to model, analysis and estimate power consumption of daily use cases on our next generation SoCs. Drive new ideas into micro-architecture, design and circuits to reduce SoC power across the dynamic range. Drive budgeting, measurement and analysis of overall SoC power for many use cases of interest. You Will work extensively with many teams across every stage of the project from Architectural definition through Design implementation and SW management to focus on power optimization.
To be successful in this role, you must have keen interest and motivativation to deliver best experience to our users, and wide perspective in order to work simultaneously on multiple disciplines. This role is required working closely with many cross-functional teams and good understanding of hardware and software interaction at system level.

In this highly visible role, you will be responsible for SOC power simulation and power modeling, SOC use case power analysis, and drive the future SOC power optimization.

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.
Create code generators to generate C++ code based on hardware specifications.

we are looking for a Backend Developer.
What youll do:
Work closely with Algorithm and NLP developers to integrate complex post-logic, leveraging the latest AI models and tools to enhance content personalization, tagging, and automation across our solutions.
Design, develop, and maintain backend services and APIs with a focus on high performance, scalability, and low latency - powering live and recorded content experiences at scale.
Design and implement event-driven systems that power real-time workflows across our platform, using technologies like Kafka or Azure Service Bus to enable scalable, decoupled communication between services.
Work on real-time video and metadata processing pipelines that support our various products.
Lead and contribute to cross-service orchestration mechanisms, implementing design patterns to ensure consistency and reliability across distributed systems.
Collaborate with product and engineering teams to deliver customer-facing features that drive engagement and enhance the fan experience.
Stay up to date with the latest in backend, video, and cloud technologies - and bring that knowledge back to level up the team.