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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 Application-specific integrated circuits (ASICs) used to accelerate networking in data centers. You will have 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 also be responsible for performance analysis for an end-to-end networking stack using your knowledge.
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
Lead an ASIC subsystem.
Understand how it interacts with software and other ASIC subsystems to implement data center networks.
Define 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.

Were looking for a highly motivated and experienced automation engineer with a strong passion for quality and performance. If youre passionate about quality and efficiency, then join our team. You will play an important part in Harmony SASEs product development process. You will create and implement strategy for quality coordination and automation testing, as well as suggesting solutions to identified quality problems.

You will also be responsible for designing, developing, and executing performance testing strategies for our cybersecurity solutions to ensure optimal performance and scalability. You will collaborate with development teams to identify performance requirements for new features and releases, and work with them to ensure that performance issues are addressed before they impact our customers. The successful candidate will have a strong technical automation background, experience with performance testing tools and methodologies, and a passion for delivering high-quality software. If you're a self-starter who is eager to learn and take on new challenges, we encourage you to apply.

Key Responsibilities
Create and maintain automation frameworks for the R&D products
Design, automate and implement test cases for a variety of products, using the latest technologies on the market
Develop and apply integrated testing processes for new and existing products, using the latest tools and technology
Review requirements, specifications, and technical design documents to provide timely and meaningful feedback
Use different testing techniques and test-driven development strategies
Work hand-in-hand with manual QA to learn about the system and find ways to improve the automation flows
Creating testing tools to improve our QA capabilities
Build load and performance testing frameworks
Identify key KPIs for product quality
Challenge our methodologies and tools and strive to continuously improve
Monitor and analyze performance metrics to proactively identify potential issues
Experience with working and configure monitoring tools such as DataDog Grafana Etc.

We are looking for a Senior Algorithm engineer to join a high-velocity R&D team developing advanced Real-Time algorithms for mission-critical defense systems. The role focuses on designing, implementing, and evolving estimation, inference, and decision algorithms that operate under real-world constraints such as uncertainty, latency, partial observability, and adversarial conditions. You will take ownership of core algorithmic components from theoretical formulation through deployment in operational systems.
Responsibilities:
Design, implement, and maintain Real-Time estimation and inference algorithms operating on heterogeneous sensor inputs. Develop and tune probabilistic state-estimation models, including non-linear filters, adaptive models, and prediction mechanisms. Implement uncertainty management, gating, clustering, hypothesis handling, and state lifecycle logic. Integrate AI/ML components where they provide measurable value (classification, anomaly detection, decision support). Own algorithm performance across stability, convergence, latency, and numerical robustness metrics. Translate operational and system -level needs into mathematical formulations and deployable algorithms. Collaborate closely with system engineers and software teams to integrate algorithms into Real-Time command-and-control environments. Analyze operational data, simulations, and edge cases; iteratively refine models based on empirical performance. Participate in algorithm design reviews, trade-off analyses, and performance assessments.

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.

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.

we are looking for a Senior NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within our company, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.
You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the worlds most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.our company's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where our company connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life-cycle of all space, power, and network assets in all of our companys data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.
Responsibilities
Deliver our company's network reliably and at scale, with a focus on workflow automation and efficiency.
Drive adaptable and scalable approaches, collaborating with cross-functional teams to optimize network deployment cycle time and operational costs through process improvements.
Own an area of responsibility, addressing issues, anticipating needs and escalating as necessary, while identifying automation opportunities to improve efficiency and prevent reoccurring failure modes.
Maintain accurate network data to drive operational excellence.

oin us and be a part of the best team in tech as we Fuel the Fandom worldwide.
As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape product roadmap, and contribute to brainstorming sessions on NLP projects.
What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.

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 Design Verification Engineer, you will work as part of a Research and Development team building verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate with design and verification engineers in active projects and perform verification. You will be responsible for the full life-cycle of verification which can range from verification planning, test execution or collecting and closing coverage.
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 company users 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 the verification of digital design blocks by fully 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 SystemVerilog Assertions (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.
Apply close coverage measures to identify verification holes and to show progress towards tape-out.