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Minimum qualifications: Bachelor's degree in Telecommunications, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. Internship experience in network engineering, data center, system administration, or another technical capacity. Experience working with networking fundamentals (e.g., TCP/IP, ARP, IP Tables, routing) or Unix systems administration, including coding (e.g., Java, C/C++) or scripting in shell or Python. Preferred qualifications: Ability to adjust to changing priorities and make quick decisions with limited information. Excellent leadership and project management skills, with the ability to work well in a team environment with a focus on knowledge sharing and collaboration. Excellent organizational, communication, and time management skills. About the jobGoogle is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services. The Network Operations Residency Program (NORP) is a 16-month rotational program for full-time Nooglers designed to develop Network Implementation Engineering (NIE) talent within the Google Cloud's Global Infrastructure organization. Residents gain experience across two distinct NIE focused rotations and transition into permanent Network Implementation Engineering roles upon successful completion.NORP is designed to build future leaders and jumpstart your career in networking technology. We are looking for candidates that demonstrate strong network fundamentals and project management skills and are excited to solve unique problems.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Gain exposure to network engineering and technical program management roles. Collaborate with Googlers to plan, deliver, and operate networking infrastructure for Google. Contribute to creative, innovative solutions that might include introducing better tools and automation, or improving processes to make the team’s work easier. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. WHAT YOU’LL BRING: Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc. Knowledge of Linear Algebra, Statistics, Machine Learning Prior experience in Finance/Trading is a plus. Be competent in a programming language (Python, Unix) Possess good English language skills Have a strong interest in learning about worldwide financial markets Possess a relentless drive to succeed, supplemented by a strong work ethic By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience troubleshooting and advocating for customer needs, and triaging technical issues (e.g., hardware, software, application, operational, process). Experience with one common scripting or coding language (e.g., Python, shell scripting). Systems experience (e.g., Linux, Unix) or a similar operating system. Experience in operating system kernel, file systems, and TCP/IP network protocols (e.g., DNS, routing, firewalls, and load balancing concepts). Ability to communicate in English fluently to interact with regional customers and stakeholders. Preferred qualifications: Kubernetes or container networking experience. Software-defined networking experience with public Cloud or SDN software. Familiarity with the HTTP protocol and APIs based on HTTP. Familiarity with network namespaces, how to take packet captures, and how to interpret packet captures. Knowledge of network specific kernel parameters (TCP keepalives, TCP windows, etc.). About the jobThe Google 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 Technical Solutions Engineer, you will own large and important customer issues in addition to providing level two support to other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make products easier to adopt and use by making improvements to the product, tools, processes and documentation. Your team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for customers’ issues.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Manage the customer’s problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop knowledge of Google's product technology and underlying architectures by troubleshooting, reproducing, determining the root cause for customer reported issues. Work as part of a team of Engineers/Consultants that globally ensure 24 hour customer support, including a need to sometimes work non-standard work hours or shifts. Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Improve the supportability of Google Cloud networking technologies by working with product engineering teams on product launches and helping product teams understand customer issues to improve existing products. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering or related technical field, or equivalent practical experience. Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience in Silicon domain post PhD.Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high performance and low power design techniques. About the jobIn this role, you will shape the future of AI/ML hardware acceleration as a Silicon Architect/Design Engineer and drive TPU (Tensor Processing Unit) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.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 Google platforms, we make Google'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 Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal physical design convergence -timing, floor planning, power grid and clock tree design etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.EPM tECH LEAD (OnESTREAM)Information Technology  Guindy, Chennai, Tamil NaduDESCRIPTIONPosition at LogitechThe Role:The Role EPM Tech Lead is responsible for the implementation of financial planning, reporting, consolidation, closing and other process solutions using Onestream software for the stakeholders in finance department. The candidate will lead Onestream solutions through the full cycle of an implementation including requirements, design, testing, development, testing, training, documentation, and support.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role you will:·       Lead the stabilization and performance optimization of the OneStream platform, addressing system bottlenecks and improving user experience, especially for Excel-based reporting·       Drive large-scale transition of reporting and planning processes from Essbase to OneStream, ensuring data accuracy, reconciliation, and business continuity·       Work closely with Finance stakeholders (FPA, Accounting, Regional Finance teams) to gather, define, and deliver scalable and sustainable solutions·       Evaluate standard functionality and recommend enhancements to improve financial processes and system efficiency·       Participate in all phases of software development including planning, analysis, design, development, testing, integration, documentation, and training·       Develop and optimize Cube Views, Quick Views, XF reports, business rules, and workflows·       Lead and coordinate testing efforts including unit testing, integration testing, and user acceptance testing·       Build and enhance integrations with upstream and downstream systems·       Support expansion of data models to incorporate additional dimensions as required and enable future reporting and planning capabilities·       Strengthen governance by implementing SOX-compliant controls and best practices across development and deployment processes·       Collaborate with architects, business analysts, and external partners to define and deliver solutions·       Mentor junior team members and provide technical leadership across the OneStream platform·       Support ongoing user enablement, report conversion, and adoption as part of enterprise-wide rolloutKey Qualifications:For consideration, you must bring the following minimum skills and behaviors to our team:·       Minimum of 6–9 years of overall relevant experience with at least 2 years of hands-on experience in full lifecycle OneStream implementations·       Strong experience in designing, developing, and delivering enterprise-scale EPM solutions·       Strong functional knowledge of financial planning, reporting, consolidation, and close processes·       Proven expertise in Cube Views, Quick Views, XF reporting, business rules, workflows, system security, and configurations·       Strong experience in performance tuning, troubleshooting, and optimizing reporting applications·       Experience working with business stakeholders to define and deliver requirements·       Experience in integrating OneStream with other enterprise systems using REST APIs or other methods·       Proficiency in .NET/C# and SQL for developing technical solutions·       Experience with data integration, data transformations, and reconciliation across systems·       Strong understanding of SOX and ITGC controls in financial systems·       Ability to independently manage deliverables and contribute to complex projects·       Strong communication and presentation skills·       Proficiency in Microsoft Office toolsIn addition, preferable skills and behaviors include:·       OneStream Certified Professional (OCP) certification·       Experience with reporting tools such as Tableau and OBIEE·       Familiarity with Oracle ERP and Snowflake data warehouse·       Experience in large-scale EPM transformation or system migration programs·       Exposure to performance optimization and post-go-live stabilization initiatives Education:BS/MS in Computer Science, Information Systems or a related technical field or equivalent industry expertise.Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach, for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Minimum qualifications: PhD degree in Electronics and Communication Engineering, Electrical Engineering, Computer Engineering, a related technical field, or equivalent practical experience Experience in programming languages (e.g., C++, Python, Verilog), Synopsys, Cadence tools. Experience with accelerator architectures and data center workloads. Preferred qualifications: 2 years of experience in Silicon engineering post PhD. Experience with performance modeling tools. Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies. Knowledge of high-performance and low-power design techniques. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will shape the future of AI/ML hardware acceleration as a silicon architect/design engineer and drive Tensor Processing Unit (TPU) technology that fuels Google's most demanding AI/ML applications. You will collaborate with hardware and software architects and designers to architect, model, analyze, define and design next-generation TPUs. You will have dynamic, multi-faceted responsibilities in areas such as product definition, design, and implementation, collaborating with the engineering teams to drive the optimal balance between performance, power, features, schedule, and cost.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our 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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Revolutionize Machine Learning (ML) workload characterization and benchmarking, and propose capabilities and optimizations for next-generation TPUs. Develop architecture specifications that meet current and future computing requirements for AI/ML roadmap. Develop architectural and microarchitectural power/performance models, microarchitecture and RTL designs and evaluate quantitative and qualitative performance and power analysis. Partner with hardware design, software, compiler, Machine Learning (ML) model and research teams for effective hardware/software codesign, creating high performance hardware/software interfaces. Develop and adopt advanced AI/ML capabilities, drive accelerated and efficient design verification strategies and implementations. Use AI techniques for faster and optimal physical design convergence-timing, floor planning, power grid and clock tree design, etc. Investigate, validate, and optimize DFT, post-silicon test, and debug strategies, contributing to the advancement of silicon bring-up and qualification processes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering or equivalent practical experience. 4 years of experience in Verification, verifying digital logic at RTL level using SystemVerilog or Specman/E for Field Programmable Gate Arrays (FPGAs) or ASICs. Experience in verification and debug of Internet Protocol (IP)/subsystem/SoCs in the Networking domain such as packet processing, bandwidth management and congestion control. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Preferred qualifications: Master's degree in Electrical Engineering or a related field. Experience with industry-standard simulators, revision control systems, and regression systems. Experience in Artificial Intelligence/Machine Learning (AI/ML) Accelerators or vector processing units. Experience with the full verification life cycle. Excellent problem-solving and communication skills. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will own the full verification life-cycle from verification planning and test execution to coverage closure, with an emphasis on meeting stringent AI/ML performance and accuracy goals, build constrained-random verification environments capable of exposing corner-case bugs and ensuring the reliability of Artificial Intelligence/Machine Learning (AI/ML) workloads on Tensor Processing Unit (TPU) hardware. You will collaborate closely with design and verification engineers in active projects and perform verification.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google'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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Plan the verification of digital design blocks and interact with design engineers to identify important verification scenarios. Identify and write all types of coverage measures for stimulus and corner-cases. Debug tests with design engineers to deliver functionally correct design blocks. Measure to identify verification holes and to show progress towards tape-out. Create a constrained-random verification environment using SystemVerilog and Universal Verification Methodology (UVM). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 1 year of experience with logic design languages like Verilog, SystemVerilog or VHDL. Preferred qualifications: Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. 1 year of experience with digital design. Experience with logic synthesis techniques to optimize RTL code, performance and power as well as low-power design techniques. About the jobBe 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 a part of the team which designs the Tensor Processing Unit (TPU) core and sub-system. The TPU core is the heart of Google's Tensor SoC. You will be working through all phases of design and implementation. You will be working with Architects to come-up with microarchitecture specifications. You will use your logic design skills to convert the micro-arch into System Verilog code. You will be involved in Power, Performance and Area (PPA) experiments/proto-typing experiments early on to optimize PPA. You will also work closely with the verification team to verify the features implemented in design. You will also work with the Physical design (PD) team to take the design through PD cycle and eventual tape-out.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Use simulation/emulation/power analysis tools and techniques to ensure power and performance meet defined specifications. Develop, implement, and maintain design blocks or components/part of a hardware product, and integrate design blocks or components/parts to create product subsystems. Collaborate with cross-functional teams to debug failures (e.g., boards, software, manufacturing, design, thermal issues). Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Electrical, Computer Engineering or equivalent practical experience. 10 years of experience in SoC DFT architecture and design. 10 years of experience in DFT protocols including Scan Compression, MBIST, LBIST, JTAG (IEEE 1149.1), and iJTAG (IEEE 1687). 10 years of experience with industry-standard EDA tools such as Siemens Tessent, Synopsys TestMAX/SMS, or Cadence Modus. 4 years of people management experience developing employees and leading multiple SoC projects from RTL architecture through to post-silicon validation. Experience in Tcl, Python, or Perl for developing automation flows. Preferred qualifications: PhD in Electrical Engineering with a focus on VLSI testing, fault tolerance, or reliability. Experience with advanced technology nodes (5nm/3nm), 2.5D/3D-IC packaging, or high-speed I/O (SerDes/DDR) testing methodologies. Experience managing global technical teams and driving vendor engagement. Ability to drive cross-functional timing closure, power analysis, and IR-drop mitigation for high-frequency designs. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google'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 Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Define and document the comprehensive DFT architecture for multi-core SoCs, including strategies for hierarchical scan compression, Memory BIST (MBIST) for huge memory instances, Functional BISTs, Analog components, Logic BIST, high-speed I/O loopback, and JTAG/IEEE 1149.1/1500/1687/1838 networks. Lead the complete DFT lifecycle from RTL planning to pattern handoff, own the schedule, resource allocation, and milestone tracking to ensure zero-defect delivery. Deploy next-generation DFT methodologies and automation flows to maximize test coverage, while minimizing test time, pattern count, and silicon area overhead. Collaborate with post silicon team, Physical Design and Power Architects. Support the post-silicon phase to achieve final Production Release Qualification (PRQ). and Mentor senior technical staff, drive vendor EDA tool selection/qualification, and act as the primary technical liaison for DFT matters with stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Visakhapatnam, Andhra Pradesh, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in program or project management. 5 years of experience managing programs and processes across distributed systems. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Prior experience designing or building fiber optic or FTTx networks. Knowledge of data center operations, networking deployments, including knowledge of networking switches, routers, load balancers or IP networking. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. Global Network Acquisition team is responsible for planning, design, sourcing and delivery of the global network infrastructure that connects every Google application and Google Cloud product to our users and customers globally. With the planned rollout of new AI hub in India, the role is critical to ensure timely, quality and cost effective delivery of scalable network connecting existing and upcoming data centers across India and rest of world.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Ensure best unit cost delivery for Google network infrastructure aligned to near build cost economics.  Project manage the approved network plan with internal contributors such as network negotiators or vendor delivery managers to ensure infrastructure is delivered on-time.  Collaborate with internal business and cross-functional teams to identify and define tactical and strategic initiatives necessary to meet Google's network infrastructure needs for expansion, resilience and cost optimization across India. Identify stakeholders and work with them to strategize, plan, and prioritize objectives and success criteria. Estimate task duration, and ensure schedules and dependencies are aligned and support those objectives. Develop executive ready materials (presentations, dashboard, analysis) to support reviews, operating cadence and decision making. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.