Google Inc.
Sunnyvale, California
Physical Design Engineer, University Graduate, PhD Apply Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Qualifications PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design. Preferred qualifications Experience in scripting using Languages like Python, Tcl, Perl. Proficiency in fundamental SoC architecture and hardware description languages such as Verilog, facilitating effective collaboration with logic design teams to resolve timing issues. Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures (e.g., finfet, Gate all around). Understanding of Static Timing Analysis(STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis. Understanding of standard cells, SRAMs, power, noise, and IR analysis. About the job In 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. As a Physical Design Engineer, you will collaborate with Register Transfer Level (RTL), Design for Testing (DFT), floorplan, and full chip sign off teams. Additionally, you will solve technical problems with innovative micro architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. 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. The US base salary range for this full time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register Transfer Level to Graphic Design System (RTL2GDSII). Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Physical Design Engineer, University Graduate, PhD Apply Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Qualifications PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Academic, educational, internship, or project experience with physical design. Preferred qualifications Experience in scripting using Languages like Python, Tcl, Perl. Proficiency in fundamental SoC architecture and hardware description languages such as Verilog, facilitating effective collaboration with logic design teams to resolve timing issues. Knowledge of fundamental VLSI and physical design principles, including expertise in semiconductor device physics and transistor structures (e.g., finfet, Gate all around). Understanding of Static Timing Analysis(STA), Clock Domain Crossings (CDC), clock/power distribution and analysis, RC extraction and correlation, place and route, circuit design and analysis. Understanding of standard cells, SRAMs, power, noise, and IR analysis. About the job In 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. As a Physical Design Engineer, you will collaborate with Register Transfer Level (RTL), Design for Testing (DFT), floorplan, and full chip sign off teams. Additionally, you will solve technical problems with innovative micro architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind. 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. The US base salary range for this full time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities Participate in the physical design of blocks for complex Tensor Processing Unit (TPU) chips. Contribute to the design and closure of the subchip and individual blocks from Register Transfer Level to Graphic Design System (RTL2GDSII). Collaborate with RTL/Design and Product Development teams to achieve the best Power Performance Area (PPA) possible. This includes conducting feasibility studies for new micro architectures as well as optimizing runs for best Quality of Results (QoR). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google Inc.
Mountain View, California
Senior Silicon Physical Design Engineer, TPU, Google Cloud Apply Bachelor's degree in Electrical Engineering or equivalent practical experience. 5 years of experience with advanced design, including clock/voltage domain crossing, Design for Testing (DFT), and low power designs. Experience with System on a Chip (SoC) cycles. Experience in high-performance, high-frequency, and low-power designs. Preferred qualifications: Master's degree in Electrical Engineering. Experience in coding with System Verilog and scripting with TCL. Experience with VLSI design in SoC or multiple-cycles of SoC in ASIC design. Experience with layout verification and design rules. About the job Be 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 part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators. 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. 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 Define and drive the implementation of physical design methodologies. Take ownership of one or more physical design partitions or top level. Manage timing and power consumption of the design. Contribute to design methodology, libraries, and code review. Define the physical design related rule sets for the functional design engineers. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Senior Silicon Physical Design Engineer, TPU, Google Cloud Apply Bachelor's degree in Electrical Engineering or equivalent practical experience. 5 years of experience with advanced design, including clock/voltage domain crossing, Design for Testing (DFT), and low power designs. Experience with System on a Chip (SoC) cycles. Experience in high-performance, high-frequency, and low-power designs. Preferred qualifications: Master's degree in Electrical Engineering. Experience in coding with System Verilog and scripting with TCL. Experience with VLSI design in SoC or multiple-cycles of SoC in ASIC design. Experience with layout verification and design rules. About the job Be 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 part of a team developing SoCs used to accelerate Machine Learning (ML) computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators. 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. 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 Define and drive the implementation of physical design methodologies. Take ownership of one or more physical design partitions or top level. Manage timing and power consumption of the design. Contribute to design methodology, libraries, and code review. Define the physical design related rule sets for the functional design engineers. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Google Inc.
Addison, Texas
corporate_fare Google place Addison, TX, USA ; Austin, TX, USA ; +3 more Apply About the job The Google Cloud Consulting (GCC) team helps customers transform their IT organizations to build and operate modern, cloud native applications using Google Cloud's products and services and ensure that customers are able to maximize their investments. In this role, you will act as a trusted advisor to Google Cloud's customers by enabling them to use Google Cloud products to achieve their business goals. You will partner with customers to develop cloud success plans including organizational, programmatic, and technical strategies to meet their business and stakeholder goals. You will work with customers to remove organizational and technical barriers and identify opportunities to help customers expand their use of Google Cloud products. You will recommend best practices related to their industry and organizational changes to accelerate their onboarding and migration plans. You will lead the successful adoption of Google Cloud, guiding customers through the people, process, and technology facets of their cloud transformation journey. You will work across customer facing teams to ensure that a customer's experience on Google Cloud exceeds their expectations. The US base salary range for this full-time position is $176,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience in consulting, Information Technology (IT) services, or a related field. Experience in leading cloud migrations, digital implementations, or managed services operations for organizations. Experience with IT infrastructure or cloud-native applications development. Preferred qualifications: Advanced degree in a Management, Technical, or Engineering field. 15 years of experience in customer-facing roles. Experience in leading organizations through a people, process, and technology transformation from building and operating legacy, on-premise software to running as a digital native business in the public cloud. Experience in assisting customers to make investments in new technologies and projects based on expected value and return on investment (ROI). Experience with data center migration strategies, collaborating with channel partners and systems integrators. Knowledge of the Google Cloud ecosystem. Responsibilities Drive the successful adoption and onboarding of Google Cloud at organizations to help customers realize the business value of our partnership and offerings. Create value for customers by partnering to define success and building a joint plan with identified objectives, stakeholders, milestones, risks, and metrics needed to achieve their goals. Form relationships with stakeholders (e.g., C-Suite and IT team) to understand a customer's business within their industry and develop roadmaps. Guide IT and business executives through the organizational changes needed to unlock the full value of the cloud, and help them staff, train, and align their people and partners to deliver on their cloud transformation. Partner with customer-facing account teams and executives from across Google to develop technical plans that help customers achieve their business and cloud consumption goals. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
corporate_fare Google place Addison, TX, USA ; Austin, TX, USA ; +3 more Apply About the job The Google Cloud Consulting (GCC) team helps customers transform their IT organizations to build and operate modern, cloud native applications using Google Cloud's products and services and ensure that customers are able to maximize their investments. In this role, you will act as a trusted advisor to Google Cloud's customers by enabling them to use Google Cloud products to achieve their business goals. You will partner with customers to develop cloud success plans including organizational, programmatic, and technical strategies to meet their business and stakeholder goals. You will work with customers to remove organizational and technical barriers and identify opportunities to help customers expand their use of Google Cloud products. You will recommend best practices related to their industry and organizational changes to accelerate their onboarding and migration plans. You will lead the successful adoption of Google Cloud, guiding customers through the people, process, and technology facets of their cloud transformation journey. You will work across customer facing teams to ensure that a customer's experience on Google Cloud exceeds their expectations. The US base salary range for this full-time position is $176,000-$248,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Minimum qualifications: Bachelor's degree or equivalent practical experience. 15 years of experience in consulting, Information Technology (IT) services, or a related field. Experience in leading cloud migrations, digital implementations, or managed services operations for organizations. Experience with IT infrastructure or cloud-native applications development. Preferred qualifications: Advanced degree in a Management, Technical, or Engineering field. 15 years of experience in customer-facing roles. Experience in leading organizations through a people, process, and technology transformation from building and operating legacy, on-premise software to running as a digital native business in the public cloud. Experience in assisting customers to make investments in new technologies and projects based on expected value and return on investment (ROI). Experience with data center migration strategies, collaborating with channel partners and systems integrators. Knowledge of the Google Cloud ecosystem. Responsibilities Drive the successful adoption and onboarding of Google Cloud at organizations to help customers realize the business value of our partnership and offerings. Create value for customers by partnering to define success and building a joint plan with identified objectives, stakeholders, milestones, risks, and metrics needed to achieve their goals. Form relationships with stakeholders (e.g., C-Suite and IT team) to understand a customer's business within their industry and develop roadmaps. Guide IT and business executives through the organizational changes needed to unlock the full value of the cloud, and help them staff, train, and align their people and partners to deliver on their cloud transformation. Partner with customer-facing account teams and executives from across Google to develop technical plans that help customers achieve their business and cloud consumption goals. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.