Systems Engineer jobs at Stellar Solutions - Stainless Steel Passivation - 125 jobs

A global technology company in Mountain View is seeking a Senior Silicon Physical Design Engineer to lead physical design methodologies. This role requires 5+ years of advanced design experience, particularly in SoC cycles and low power designs. The ideal candidate holds a Bachelor's or Master's in Electrical Engineering and is skilled in System Verilog and TCL scripting. You'll drive innovations that power the next generation of hardware across Google's data centers. #J-18808-Ljbffr

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience. * 3 years of experience in mission critical facility design and construction environments. * 3 years of experience with power systems controls, SCADA controls, protection systems, generator controls, and other power system technologies. * 3 years of experience developing power system protection and control schemes and performing system analysis for protection/transient studies. Preferred qualifications: * Master's degree in Engineering, Business or other relevant field or a Professional Engineering (PE) license. * Experienced with generator governors and exciters, generator synchronization and transfer controls, inverter controls for BESS, PV and Fuel Cell applications. * Familiarity with HIL testing using RTDS, OPAL-RT and other commercially viable closed loop testing methods. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). 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 $122,000-$174,000 + 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 * Act as a Power Systems Engineer focused on BESS and energy storage.

Apply share * link Copy link * email Email a friend info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: * Health, dental, vision, life, disability insurance * Retirement Benefits: 401(k) with company match * Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment * Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) * Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks * Baby Bonding Leave: 18 weeks * Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Sunnyvale, CA, USA; Austin, TX, USA; Kirkland, WA, USA. Minimum qualifications: * Bachelor's degree in Electrical Engineering or equivalent practical experience. * 12 years of experience in technical leadership with industrial power system design, development, and testing, including data centers. Preferred qualifications: * Experience with electrical distribution, energy storage, and electrical generation technologies, including other microgrid resources. * Experience with high voltage, medium voltage, and low voltage systems. * Understanding of National Electrical Code (NEC) and building codes. * Ability to solve technical problems across the electrical engineering and controls domain. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. 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 $214,000-$302,000 + 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 * Lead executive team members on creating future data center architecture concepts and designs. * Investigate renewable power generation and storage technologies and find the best ways to implement them. * Create and maintain a plan of record for electrical single-line and layouts that will help quick implementation in the field. * Develop architecture and products which will form the reference design for Google data centers. * Implement solutions that lead to fast, cost-effective construction and delivery.

Minimum qualifications: Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience. 3 years of experience in mission critical facility design and construction environments. 3 years of experience with power systems controls, SCADA controls, protection systems, generator controls, and other power system technologies. 3 years of experience developing power system protection and control schemes and performing system analysis for protection/transient studies. Preferred qualifications: Master's degree in Engineering, Business or other relevant field or a Professional Engineering (PE) license. Experienced with generator governors and exciters, generator synchronization and transfer controls, inverter controls for BESS, PV and Fuel Cell applications. Familiarity with HIL testing using RTDS, OPAL-RT and other commercially viable closed loop testing methods. About the job Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). 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 $122,000-$174,000 + 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 Act as a Power Systems Engineer focused on BESS and energy storage.

_corporate_fare_ Google _place_ San Francisco, CA, USA; Madison, WI, USA; +2 more; +1 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Francisco, CA, USA; Madison, WI, USA; Sunnyvale, CA, USA** . **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 2 years of experience programming in C++, Python, or Go. + 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. **Preferred qualifications:** + Master's degree or PhD in Computer Science or related technical fields. + 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. + 2 years of experience with data structures or algorithms in either an academic or industry setting. + Experience developing accessible technologies. + Proficiency in code and system health, diagnosis and resolution, and software test engineering. **About the job** Google'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 Google's 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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 lead 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 $141,000-$202,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Write product or system development code. + Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. + Review code developed by other developers and provide feedback to ensure best practices (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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Atlanta, GA, USA; +5 more; +4 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least January 23rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience. + 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. + 3 years of experience in project management and technical solution delivery. + Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. + Experience working with Cloud Providers such as Google Cloud Platform (GCP). + Ability to travel 30% of the time, as needed, for client engagements. **Preferred qualifications:** + Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. + Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). + Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. + Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. + Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. + Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. **About the job** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. 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. The US base salary range for this full-time position is $147,000-$216,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. + Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. + Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. + Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. + Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 23rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; San Francisco, CA, USA. Minimum qualifications: * Bachelor's degree in Computer Science or equivalent practical experience. * 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. * 3 years of experience in project management and technical solution delivery. * Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. * Experience working with Cloud Providers such as Google Cloud Platform (GCP). * Ability to travel 30% of the time, as needed, for client engagements. Preferred qualifications: * Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. * Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). * Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. * Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. * Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. * Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. 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. The US base salary range for this full-time position is $147,000-$216,000 + 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 * Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. * Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. * Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. * Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. * Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

info_outline XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Madison, WI, USA; Sunnyvale, CA, USA. Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience programming in C++, Python, or Go. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google'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 Google's 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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 lead 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 $141,000-$202,000 + 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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (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.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA; Atlanta, GA, USA; +5 more; +4 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XThe application window will be open until at least January 23rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; San Francisco, CA, USA** . **Minimum qualifications:** + Bachelor's degree in Computer Science or equivalent practical experience. + 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. + 3 years of experience in project management and technical solution delivery. + Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. + Experience working with Cloud Providers such as Google Cloud Platform (GCP). + Ability to travel 30% of the time, as needed, for client engagements. **Preferred qualifications:** + Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. + Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). + Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. + Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. + Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. + Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. **About the job** The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. 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. The US base salary range for this full-time position is $147,000-$216,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. + Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. + Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. + Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. + Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline XThe application window will be open until at least January 23rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; San Francisco, CA, USA. Minimum qualifications: * Bachelor's degree in Computer Science or equivalent practical experience. * 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. * 3 years of experience in project management and technical solution delivery. * Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. * Experience working with Cloud Providers such as Google Cloud Platform (GCP). * Ability to travel 30% of the time, as needed, for client engagements. Preferred qualifications: * Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. * Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). * Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. * Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. * Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. * Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. 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. The US base salary range for this full-time position is $147,000-$216,000 + 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 * Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. * Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. * Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. * Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. * Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Apply share * link Copy link * email Email a friend info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA. Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 2 years of experience with coding in C++, Python and g3Python. Preferred qualifications: * Master's degree or PhD in Computer Science, or a related technical field. * 2 years of experience in software architecture. * 2 years of experience in customer engagement. * 2 years of experience in project execution. About the job Hydra is the next generation storage system for ML post-training data. The system is currently used mainly by Gemini and growing rapidly. It powers major Gemini tools such as Gemini Data Studio, Gemini Atlas Leaderboard, and critical OneRecipe/Gemini researcher workflows. Gemini and Google AI research are evolving very fast, which translates to exponentially increasing data sizes and rapidly evolving user requirements. We are working on improving the performance and reliability of the existing Critical User Journeys (CUJs) to speed up Gemini AI research, supporting new features to meet new AI research requirements, refining Hydra APIs and data models to allow rapidly increasing data sizes, designing the system in extensible ways for faster introduction of new features and reduction in development churn, etc.The US base salary range for this full-time position is $141,000-$202,000 + 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 * Improve Hydra's read/query/write patterns throughout its storage layer and serving stack. This includes analyzing Spanner hotspotting/lock contention/resource usage/issues, improving Hydra's Spanner/Lightning schema design, improving Hydra's Spanner/F1 queries, supporting new features in F1 Query (e.g., full-text search predicate pushdown) for Hydra's use cases, etc. * Implement data isolation models to allow Hydra to be used by all Google Product Areas for their post training needs. * Collaborate with various DeepMind/CoreML/CloudML/Search teams and AI researchers to gather requirements for feature development and performance optimization. * Implement new features to meet rapidly evolving Google AI research needs. For instance, Hydra is currently working on better supporting ML model eval, LLM distillation, semantic search, etc. * Improve extensibility of the system by leveraging technologies such as Spanner remote Universal Dashboard Framework (UDF).

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience programming in C++ or Python. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google'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 Google's 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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The AI and Infrastructure team works on the world's toughest problems, redefining what's possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We're at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services. In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies. The US base salary range for this full-time position is $141,000-$202,000 + 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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (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.

info_outline XThe application window will be open until at least January 23rd, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; San Francisco, CA, USA. Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience automating infrastructure provisioning, Developer Operations (DevOps), continuous integration, or delivery utilizing Kubernetes and Linux-based systems. 3 years of experience in project management and technical solution delivery. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, software design, Linux environments and Kubernetes orchestration. Experience working with Cloud Providers such as Google Cloud Platform (GCP). Ability to travel 30% of the time, as needed, for client engagements. Preferred qualifications: Experience with third-party networking (e.g., PANW, Fortinet, VMWare) and design, including redundancy and load balancing. Experience troubleshooting networking protocols including TCP/IP, Hypertext Transfer Protocol, and Border Gateway Protocol (BGP). Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations. Experience with standard IT security practices, including IAM, data protection, encryption, and certificate/key management. Experience running AI/ML training and inference workloads on GPU/TPU using frameworks such as PyTorch, JAX, TensorFlow, or Slurm. Knowledge of containerization and orchestration technologies, including Google Kubernetes Engine (GKE) and related cloud-native services. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Cloud Platform and Infrastructure Engineer, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features. 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. The US base salary range for this full-time position is $147,000-$216,000 + 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 Propose solution architectures and manage the deployment of cloud networking solutions according to customer requirements and implementation best practices. Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. Work with internal specialists, product, and engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

info_outline XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience programming in C++, Java or Python, or 1 year of experience with an advanced degree. Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. 2 years of experience with data structures or algorithms in either an academic or industry setting. Experience developing accessible technologies. Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Google'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 Google's 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. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. 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 $141,000-$202,000 + 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 Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (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.

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. + 8 years of experience in electronics packaging/server systems/data center or related industry. + Experience working with cooling strategies used for packages, boards, systems and data centers. + Experience with developing and executing thermals technology innovation. + Experience in one or more advanced cooling techniques such as liquid cooling, thermal interface materials, thermo-electric devices, two-phase heat transfer or heat exchangers. + Experience working with OEM, ODM, and cooling system and component suppliers. **Preferred qualifications:** + Master's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. + 12 years of experience in in electronics packaging/server systems/data center. + 5 years of experience with Computational Fluid Dynamics (CFD), thermal analysis modeling and characterization (e.g., FloTHERM, IcePak, and Computer Aided Design (CAD)). + Experience in establishing project goals, coordinating resources, and providing technical leadership. + Experience capturing temperature, pressure, velocity, power, flow rates, acceleration, displacement, acoustics. **About the job** Our computational challenges are so big and unique we cannot just buy our hardware, we have got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Staff Thermal Systems Engineer, you will lead teams to design and evaluate our IT/data center thermal systems, identifying product requirements and contributing to research and project planning. From the chip to the data center, you will be responsible for designing and optimizing an architecture that will scale with Google's continued growth. With your technical expertise, you will lead and manage projects and technologies, develop product and process improvements, and provide consultation to others. 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 $174,000-$258,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Act as a "go-to" technical leader with in-depth thermals knowledge of server, storage, machine learning, and different varieties of IT equipment systems. + Lead projects to resource and enable qualification of thermal products from concept design to final production and deployment, collaborate with cross-functional leaders and external vendors/partners to maintain and improve design, development/qualification processes. + Contribute to overall system architecture from "chip to chiller" to optimize Total Cost of Ownership (TCO) of overall IT infrastructure, develop holistic thermal designs/architectures from package to data center level optimizing for cost and efficiency while innovating for performance. + Develop appropriate specifications and test procedures as necessary to ensure desired reliability and performance of electronic equipment, collaborate, supervise, mentor, and motivate internal and external teams, to design and develop excellent products. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. * 8 years of experience in electronics packaging/server systems/data center or related industry. * Experience working with cooling strategies used for packages, boards, systems and data centers. * Experience with developing and executing thermals technology innovation. * Experience in one or more advanced cooling techniques such as liquid cooling, thermal interface materials, thermo-electric devices, two-phase heat transfer or heat exchangers. * Experience working with OEM, ODM, and cooling system and component suppliers. Preferred qualifications: * Master's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. * 12 years of experience in in electronics packaging/server systems/data center. * 5 years of experience with Computational Fluid Dynamics (CFD), thermal analysis modeling and characterization (e.g., FloTHERM, IcePak, and Computer Aided Design (CAD)). * Experience in establishing project goals, coordinating resources, and providing technical leadership. * Experience capturing temperature, pressure, velocity, power, flow rates, acceleration, displacement, acoustics. About the job Our computational challenges are so big and unique we cannot just buy our hardware, we have got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Staff Thermal Systems Engineer, you will lead teams to design and evaluate our IT/data center thermal systems, identifying product requirements and contributing to research and project planning. From the chip to the data center, you will be responsible for designing and optimizing an architecture that will scale with Google's continued growth. With your technical expertise, you will lead and manage projects and technologies, develop product and process improvements, and provide consultation to others. 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 $174,000-$258,000 + 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 * Act as a "go-to" technical leader with in-depth thermals knowledge of server, storage, machine learning, and different varieties of IT equipment systems. * Lead projects to resource and enable qualification of thermal products from concept design to final production and deployment, collaborate with cross-functional leaders and external vendors/partners to maintain and improve design, development/qualification processes. * Contribute to overall system architecture from "chip to chiller" to optimize Total Cost of Ownership (TCO) of overall IT infrastructure, develop holistic thermal designs/architectures from package to data center level optimizing for cost and efficiency while innovating for performance. * Develop appropriate specifications and test procedures as necessary to ensure desired reliability and performance of electronic equipment, collaborate, supervise, mentor, and motivate internal and external teams, to design and develop excellent products.

Minimum qualifications: Bachelor's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. 8 years of experience in electronics packaging/server systems/data center or related industry. Experience working with cooling strategies used for packages, boards, systems and data centers. Experience with developing and executing thermals technology innovation. Experience in one or more advanced cooling techniques such as liquid cooling, thermal interface materials, thermo-electric devices, two-phase heat transfer or heat exchangers. Experience working with OEM, ODM, and cooling system and component suppliers. Preferred qualifications: Master's degree in Mechanical Engineering, Product Design, or related field, or equivalent practical experience. 12 years of experience in in electronics packaging/server systems/data center. 5 years of experience with Computational Fluid Dynamics (CFD), thermal analysis modeling and characterization (e.g., FloTHERM, IcePak, and Computer Aided Design (CAD)). Experience in establishing project goals, coordinating resources, and providing technical leadership. Experience capturing temperature, pressure, velocity, power, flow rates, acceleration, displacement, acoustics. About the job Our computational challenges are so big and unique we cannot just buy our hardware, we have got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Staff Thermal Systems Engineer, you will lead teams to design and evaluate our IT/data center thermal systems, identifying product requirements and contributing to research and project planning. From the chip to the data center, you will be responsible for designing and optimizing an architecture that will scale with Google's continued growth. With your technical expertise, you will lead and manage projects and technologies, develop product and process improvements, and provide consultation to others.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 $174,000-$258,000 + 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 Act as a "go-to" technical leader with in-depth thermals knowledge of server, storage, machine learning, and different varieties of IT equipment systems. Lead projects to resource and enable qualification of thermal products from concept design to final production and deployment, collaborate with cross-functional leaders and external vendors/partners to maintain and improve design, development/qualification processes. Contribute to overall system architecture from “chip to chiller” to optimize Total Cost of Ownership (TCO) of overall IT infrastructure, develop holistic thermal designs/architectures from package to data center level optimizing for cost and efficiency while innovating for performance. Develop appropriate specifications and test procedures as necessary to ensure desired reliability and performance of electronic equipment, collaborate, supervise, mentor, and motivate internal and external teams, to design and develop excellent products.

_corporate_fare_ Google _place_ Fremont, CA, USA **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. **Minimum qualifications:** + Bachelor's degree in Electrical Engineering, Physics, Optics, Systems Engineering, or equivalent practical experience. + 6 years of experience working in a display or semiconductor test engineering technical environment including the introduction of new test systems into production environments. + 3 years of experience in technical leadership. + Experience with imaging colorimetry, photometry, and optical metrology systems. + Experience in data analysis and scripting using Python (e.g., pandas, numpy), or SQL. **Preferred qualifications:** + Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). + Experience in automating electrical instrumentation and optical equipment via Python (e.g., Standard Commands for Programmable Instruments (SCPI), Virtual Instrument Software Architecture (VISA), etc.). + Experience designing or integrating optomechanical fixtures and automation for high-precision optical measurement. + Experience releasing complex hardware/software tools into a high-volume Mass Production (MP) environment. + Experience in ULED, OLED, or related emissive display technologies. + Track record of leading cross-functional teams in complete system design, from concept to deployment. **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. 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. The US base salary range for this full-time position is $174,000-$258,000 + 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 aboutbenefits at Google (************************************* . **Responsibilities** + Lead the test architecture and New Product Introduction (NPI) for a complete display calibration solution, including imaging colorimetry algorithms, optomechanical control strategy. Drive the transition from prototyping to Mass Production (MP) integration at scale. + Collaborate with CMOS design and Software teams to define test specifications and optimize test test time, accuracy, and precision. + Work to implement, debug, and validate new test solutions. Set project timelines, define milestones, and organize domain experts through complex debugging and scale-up phases. + Partner with external vendors to define optical calibration scaling strategies and oversee the release of tools into mass production environments. + Define and execute test programs for chip and system-level validation. Utilize advanced data analysis to drive design improvements. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . 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 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 ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Stellar Solutions, a nationally recognized “Great Place To Work”, has exciting opportunities providing Engineering solutions for innovative new-entrant space companies, as well as established space systems manufacturers, commercial space system operators and service providers, and other industry stakeholders including investors. At Stellar Solutions, we offer talented, energetic, and immediately productive resources to satisfy our customers' critical needs in systems engineering and integration, mission operations, program management and strategic planning. We are a leading service and expertise provider for high-tech commercial ventures, spanning communications, earth observation and remote sensing systems and data products, to the infrastructures that support earth orbiting and beyond earth orbit businesses. Role/Responsibilities/Qualifications Stellar Solutions is seeking a skilled Senior System Engineer for Multi Domain Design, Integration, Test and Acquisition to support development of first-of-kind space missions for the Space Rapid Capabilities Office. A successful candidate should be a leader and problem solver with a proven ability to deliver superior results as part of a high performing team in a high-profile, fast-paced environment. The candidate will apply advanced principles, theories, and concepts for highly classified systems, while also effectively communicating complex results with management and executive leadership. This position provides a unique opportunity to provide onsite support to development, integration and test activities involving multiple government, contractor and national agencies in support of the System Program Office. The position's primary duty would be payload integration IPT lead, effects modelling IPT lead and test and integration support. Desired personnel possess an wholistic understanding of all program functions to include security, contracting, and budgeting at at least an IPT level. In this position, you will support an acquisition program office and bring critical thinking and analysis in a dynamic, high-paced environment responding to senior leadership, supporting a broad range of technical and organizational activities and contribute to effective management of the program strategy, execution and ultimately system fielding. The ideal candidate will provide support to include teleconference meetings, face-to-face meetings, program strategy, and reviewing program documentation. Plan, perform and oversee systems engineering, integration and test activities across the lifecycle from conceptual design to fielding to enable operational acceptance of space superiority systems factory, Government-led developmental and operational, and enterprise system-of-systems test planning and strategy development factory, developmental, operational, and enterprise test coordination and leadership coordination among developers, Government, mission partners, stakeholders, and enterprise organizations systems integration, verification, and validation results analysis, performance analysis, and concise reporting and risk management Perform test-oriented project support to enable integration of space systems and sensors to a command and control enterprise Coordinate Government and contractor test integration activities with interfacing mission partners, systems, sensors, and applications throughout the full life cycle Provide technical support to Government and contractor reviews to track and assess progress, issues, requirements satisfaction, and traceability Required skills: At least 15 years of experience in leading teams. Experience in coordinating across government and contractor teams. Strong integration and test background with penchant for leading teams to define logical approaches where no clear guidance exists. Ability to work on complex technical problems and provide solutions in concert with Government acquisition strategies, policies and instructions Performs well given consultative direction toward pre-determined long-range goals and objectives Self-initiator who can identify and pursue courses of action and obtain results without instruction Communicates effectively and efficiently in oral and written form; able to brief problems/status and recommend solutions/strategies to senior management and leadership. Education: BS in Engineering or relevant discipline and eighteen (18) years or more experience; MS and sixteen (16) years or more experience Security Clearance & Other Requirements: U.S. Citizen with current Top Secret clearance and SCI eligibility. This position is full-time, on site in El Segundo, CA and will require travel up to 50% of time within the continental United States Compensation: The typical salary range for this position is USD $145,000 - $185,000 per year. Individual pay is determined by many factors including work location, job-related skills, experience, and relevant education or training. In addition to salary, this position is also eligible for a discretionary annual performance bonus, retirement plan and other benefits (all in addition to annual salary). Deliverable(s) Deliverables will be in the format of reports, briefings, spreadsheets, or other documents as directed by the Government, using government approved and/or mandated systems/software and processes governed by guidance/instructions/policy or direction.