Google

Title: Data Center Controls Engineer, Global Data Centers Location: United States Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: New York, NY, USA; Sunnyvale, CA, USA. Remote location(s): California, USA; New Jersey, USA; New York, USA. Minimum qualifications: - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field. - 5 years of experience in controls engineering, automation, or systems integration within industrial or mission-critical environments. - Experience in BMS/EPMS architectures, including DDC (Direct Digital Control), PLC (Programmable Logic Controllers), VM (virtual machines), and Supervisory Control and Data Acquisition (SCADA) systems. Preferred qualifications: - Understanding of electrical and mechanical systems to facilitate effective cross-discipline collaboration. - Ability to trace a failure from a software dashboard back to a physical wiring or sensor issue in the field. - Ability to translate complex automation logic into clear instructions for field technicians and electrical contractors. - Ability to focus on "point-to-point" accuracy to ensure 100% data integrity for the facility’s monitoring systems. - Excellent verbal and written communication skills with the ability to navigate a complex matrix organization. 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). Google is looking for a Controls or Systems Engineer with a mastery of Building Management Systems (BMS), Electrical Power Monitoring System (EPMS) and Industrial Control Systems (ICS) to execute and deliver the supply of third-party data center projects. As the primary on-site technical authority for automation, you will ensure that the "brains" of the facility—the integration of mechanical, electrical, and cooling systems—are installed and networked to perfection. You will serve as the Lead Technical Point of Contact (POC) for all BMS, EPMS, and PLC-related engineering questions during the construction phase, ensuring that the physical installation of sensors, controllers, and network architecture aligns with the logical design intent, enabling seamless system communication and operational visibility. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Act as the definitive resource for the integrators and contractors to resolve ambiguities in sequence of operations (SOO), Intraocular Lenses (IOLs), and network topology diagrams. - Perform periodic site walk-throughs to verify the physical installation of end devices, including sensors, actuators, and meters, and witness on-site commissioning events to ensure SOO compliance with design intent. - Ensure that the field-installed hardware matches the programmed logic and identify discrepancies between design intent and actual field conditions to prevent commissioning delays. - Assist the controls contractor in troubleshooting wiring issues, addressing communication "blind spots," and verifying panel terminations. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Title: Principal Architect Location: New York United States Note: Google's hybrid workplace includes remote roles. Remote location: New York, USA. Minimum qualifications: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 10 years of experience as an enterprise architect or equivalent experience in a customer-facing role. - Experience with state, local and higher education markets in the state of New York. - Experience in cloud market insights and cloud computing across applications, infrastructure, storage, platforms, or data. - Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: - Experience with structured Enterprise Architecture practices as it pertains to hybrid cloud deployments, and on-premise-to-cloud migration deployments and roadmaps. - Experience in building, architecting, designing and implementing highly distributed global cloud-based systems. - Experience working with the state of New York or executive leaders in Government agencies. - Experience in enterprise technology buying and evaluation processes paired with an understanding of large-scale computing solutions. - Knowledge of technology solutions and ability to learn and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space. About the job As part of the Customer Engineering organization in Google Public Sector, you will lead cross-functional teams of experts to help customers design, plan, implement, and govern cloud strategies in the public sector space. The Google Cloud Principal Architect role is a hybrid technical and business advisor role. In this role, you will exhibit executive level qualities, lead the conversation, and direct the execution of the Sales team by combining both technical direction and business insight. You will partner with Value Engineering to articulate the true total value of each technical solution and the overall business partnership with Google Public Sector.Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Build a trusted advisory relationship with accounts and engage with Architects, Vice President Engineering, Chief Technical Officer and Chief Information Officer, and identify customer priorities, technical objections, and design strategies encompassing the entire Google ecosystem to deliver business value and resolve blockers. - Provide domain expertise around public cloud and enterprise technology, and promote Google Cloud with public sector customers, at conferences, and online. - Make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution while providing best practices to customers to optimize Google Cloud effectiveness. - Manage the enterprise architecture relationship with customers by collaborating with specialists, product management, technical teams, and more. - The territory for this role is State of New York agencies. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

• Take an instrumental role in the Product Roadmap and Development, from selecting foundational technology to planning sprints to building our MVP and platform • Hire, onboard, train, and manage team of internal or outsourced engineers • Work with Founder and Advisors to devise solutions to the challenges user relay • Oversee features, servers, and deployments and all aspects of DevOps • Ensure data privacy and encryption to protect our users • Conduct QA testing and provide rapid bug fixes • Lead in any technical components and product development

Product Engineer, Global Manufacturing Engineering Location: Mexico Job Description: Minimum qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics, or equivalent practical engineering experience. - 8 years of experience in a manufacturing environment or similar technical environments. - Experience in data center hardware architectures, including servers, storage, and accelerators. Preferred qualifications: - Experience developing and integrating manufacturing hardware, including custom electronics, precision fixturing, and specialized instrumentation. - Experience collaborating with and managing global contract manufacturing partners. - Experience in root cause analysis (RCCA) for manufacturing yield issues and field. 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. Responsibilities - Build, optimize, and deploy Google data center hardware platforms (server, storage, networking, racks and accelerators) across global manufacturing partners while shaping long-term manufacturing strategies. - Drive early engagement for New Product Introductions, partnering with NPI teams to define Design for Manufacturing (DFM) requirements and ensuring a seamless transition to sustaining operations. - Provide high-caliber product engineering support for both new and existing products to ensure consistent operational excellence. - Analyze and resolve manufacturing yield issues and data center field escapes by driving Root Cause Corrective Action (RCCA) to closure with robust preventive measures. - Collaborate with internal and partner engineering teams to enhance manufacturing efficiency, maximize test coverage, reduce costs, and manage product changes that improve overall performance. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Senior Security Engineer, AI - ML, National Security, Public Sector Location: Washington D.C. United States areGoogleplaceWashington D.C., DC, USA; Maryland, USAlaptop_windowsRemote eligible Job Description: Candidate must work 5 days per week on-site in Fort Meade, Maryland In 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: Washington D.C., DC, USA. Remote location(s): Maryland, USA. Minimum qualifications: - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience. - 5 years of experience in AI/ML development, AI infrastructure engineering, or software development. - 5 years of experience with containerization (Docker) and orchestration (Kubernetes). - 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers. - Ability to travel up to 25% of the time as needed. - Must possess an active Top Secret/SCI security clearance with current polygraph. Preferred qualifications: - 5 years of experience in AI/ML research or software development. - Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development. - Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks. - Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI). - Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems. About the job Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will help us build the most resilient AI infrastructure in the world. This role is designed for a technical expert in Artificial Intelligence and Machine Learning, with a primary interest in how those systems can be defended against adversarial manipulation. You will be responsible for the security configuration of AI deployments, from local on-prem GPU clusters to cloud-native environments. You will understand the nuances of LLMs, neural networks, and containerized ML pipelines, and will apply that knowledge to the frontier of security. You will have an understanding of how Large Language Models (LLMs) work under the hood and to develop the next generation of automated defenses and adversarial testing frameworks. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Architect and manage LLM deployments across on-premises (NVIDIA/AMD) and cloud (cloud computing platform, Google Cloud platform (GCP) environments. Audit multi-agent orchestration, agent construction, and vector databases to map data flows and enforce privilege boundaries. - Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation. - Protect model weights, secure data ingestion, and harden inference endpoints across the Machine Learning operations (MLOps) lifecycle. - Investigate and mitigate AI-specific threats (e.g., prompt injection, jailbreaking, data poisoning). Map testing findings to MITRE ATLAS, OWASP for LLMs, and STRIDE models. - Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Title: Aircraft Captain and Project Manager Remote locations: Arkansas, USA; Arizona, USA; California, USA; Colorado, USA; Iowa, USA; Idaho, USA; Kansas, USA; Louisiana, USA; Missouri, USA; Montana, USA; North Dakota, USA; Nebraska, USA; New Mexico, USA; Nevada, USA; Oklahoma, USA; Oregon, USA; South Dakota, USA; Texas, USA; Utah, USA; Washington, USA; Wyoming, USA. Remote eligible Job Description: In 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote roles. By applying to this position you will have an opportunity to share your preferred working location from the following: Minimum qualifications: - FAA Airline Transport Pilot Certificate (ATP). - FAA First Class Medical and FCC Restricted Radiotelephone Operator’s Permit. - A valid U.S. driver’s license. - Experience with 3,000 hours of flight time, including 1,000 hours in jet, with experience in international operations in GV or GVI (e.g., Gulfstream G550 or Gulfstream 650). - Ability to report to the Bay Area within 48 hours of assignments. Preferred qualifications: - Bachelor’s degree. - 3 years of experience as a pilot in command for corporations. - Aviation-related project management experience in programs such as SMS, FOQA, security, international operations and AI literacy and workflow integration. - Ability to think creatively and bring non-standard innovative solutions. - Excellent communication skills and ability to function under pressure. - Excellent leadership skills, with situational awareness and professionalism. About the job Our Google Aviation team has a strong focus on risk management, humility, standards, collaboration, and teamwork. Everyone on the team works together toward the common goal of creating a safe, efficient, consistent, and enjoyable experience for our users. As an Aircraft Captain and Project Manager, you will be responsible for managing complex and dynamic aircraft operations around the globe. The role requires excellent teamwork and Crew Resource Management (CRM) skills to lead fellow crew members to meet the demands of our global business. In addition to being a great pilot, you will be responsible for owning and collaborating with cross-functional teams on various aviation projects to maintain, grow, and evolve our aviation program. In this role, you will grow amidst ambiguity and be comfortable navigating shifting priorities. You must possess a strong curiosity and be adaptable, along with having a desire for continuous improvement and learning.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $222000 - $322000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities - Plan, manage, and execute domestic and international trips as Pilot In Command (PIC). - Operate aircraft safely and consistently as described by our standard operating procedures (SOPs) and guidelines. - Engage with, and actively participate in, our risk management and security programs to reduce and mitigate risk. - Lead and participate in aviation projects of varying size, scope, and complexity that deliver significant impact to the team and our users. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Title: Senior Security Engineer, AI/ML, National Security, Public Sector Location: Remote Maryland United States Job Description: In 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: Remote location(s): Maryland, USA. Minimum qualifications: - Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field or equivalent practical experience. - 5 years of experience in AI/ML development, AI infrastructure engineering, or software development. - 5 years of experience with containerization (Docker) and orchestration (Kubernetes). - 5 years of experience with Python and with libraries like PyTorch, TensorFlow, or Hugging Face Transformers. - Ability to travel up to 25% of the time as needed. - Must possess an active Top Secret/SCI security clearance with current polygraph. Preferred qualifications: - 5 years of experience in AI/ML research or software development. - Experience with LLM deployment frameworks such as vLLM, NVIDIA Triton, or Ollama and agent development. - Knowledge of open worldwide application security project (OWASP) for LLMs or similar security frameworks. - Familiarity with cloud-native AI services (e.g., cloud computing platform, Google Vertex AI). - Track record of deploying AI models on air-gapped or on-premises high-performance computing (HPC) systems. About the job Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will help us build the most resilient AI infrastructure in the world. This role is designed for a technical expert in Artificial Intelligence and Machine Learning, with a primary interest in how those systems can be defended against adversarial manipulation. You will be responsible for the security configuration of AI deployments, from local on-prem GPU clusters to cloud-native environments. You will understand the nuances of LLMs, neural networks, and containerized ML pipelines, and will apply that knowledge to the frontier of security. You will have an understanding of how Large Language Models (LLMs) work under the hood and to develop the next generation of automated defenses and adversarial testing frameworks. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google. Responsibilities - Architect and manage LLM deployments across on-premises (NVIDIA/AMD) and cloud (cloud computing platform, Google Cloud platform (GCP) environments. Audit multi-agent orchestration, agent construction, and vector databases to map data flows and enforce privilege boundaries. - Use Docker and Kubernetes to orchestrate scalable inference and training environments, optimizing Graphics Processing Unit (GPU) utilization and resource isolation. - Protect model weights, secure data ingestion, and harden inference endpoints across the Machine Learning operations (MLOps) lifecycle. - Investigate and mitigate AI-specific threats (e.g., prompt injection, jailbreaking, data poisoning). Map testing findings to MITRE ATLAS, OWASP for LLMs, and STRIDE models. - Bridge local high-compute clusters and cloud AI services while maintaining a consistent security posture.

Title: Project Manager Location: United States Job Description: In 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote roles. By applying to this position you will have an opportunity to share your preferred working location from the following: Remote locations: Arkansas, USA; Arizona, USA; California, USA; Colorado, USA; Iowa, USA; Idaho, USA; Kansas, USA; Louisiana, USA; Missouri, USA; Montana, USA; North Dakota, USA; Nebraska, USA; New Mexico, USA; Nevada, USA; Oklahoma, USA; Oregon, USA; South Dakota, USA; Texas, USA; Utah, USA; Washington, USA; Wyoming, USA. Minimum qualifications: - FAA Airline Transport Pilot Certificate (ATP). - FAA First Class Medical and FCC Restricted Radiotelephone Operator's Permit. - A valid U.S. driver's license. - Experience with 3,000 hours of flight time, including 1,000 hours in jet, with experience in international operations in GV or GVI (e.g., Gulfstream G550 or Gulfstream 650). - Ability to report to the Bay Area within 48 hours of assignments. Preferred qualifications: - Bachelor's degree. - 3 years of experience as a pilot in command for corporations. - Aviation-related project management experience in programs such as SMS, FOQA, security, international operations and AI literacy and workflow integration. - Ability to think creatively and bring non-standard innovative solutions. - Excellent communication skills and ability to function under pressure. - Excellent leadership skills, with situational awareness and professionalism. About the job Our Google Aviation team has a strong focus on risk management, humility, standards, collaboration, and teamwork. Everyone on the team works together toward the common goal of creating a safe, efficient, consistent, and enjoyable experience for our users. As an Aircraft Captain and Project Manager, you will be responsible for managing complex and dynamic aircraft operations around the globe. The role requires excellent teamwork and Crew Resource Management (CRM) skills to lead fellow crew members to meet the demands of our global business. In addition to being a great pilot, you will be responsible for owning and collaborating with cross-functional teams on various aviation projects to maintain, grow, and evolve our aviation program. In this role, you will grow amidst ambiguity and be comfortable navigating shifting priorities. You must possess a strong curiosity and be adaptable, along with having a desire for continuous improvement and learning.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $222000 - $322000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google. Responsibilities - Plan, manage, and execute domestic and international trips as Pilot In Command (PIC). - Operate aircraft safely and consistently as described by our standard operating procedures (SOPs) and guidelines. - Engage with, and actively participate in, our risk management and security programs to reduce and mitigate risk. - Lead and participate in aviation projects of varying size, scope, and complexity that deliver significant impact to the team and our users.

Title: Customer Engineer, Federal Civilian Agencies, Google Public Sector Location: Reston, VA, USA Job Description: GoogleplaceReston, VA, USA; Washington D.C., DC, USA; +1 morelaptop_windowsRemote eligible In-office locations: Reston, VA, USA; Washington D.C., DC, USA. Remote location(s): California, USA. Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 6 years of experience with cloud native architecture in a customer-facing or support role. - Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. - Experience in migrating applications and services to cloud platforms. - Experience with GenAI use cases, or deploying custom AI applications. - Ability to travel up to 50% of the time needed. Preferred qualifications: - Experience working with NASA or the aerospace industry. - Experience prospecting, and building and maintaining customer relationships from scratch, with excitement for building out Greenfield territories. - Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers and firewalls. - Experience engaging with, and presenting to, technical stakeholders and executive leaders. - Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT and scientific mission systems space. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Customer Engineer in Google Public Sector you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. In this role, you will focus on a range of customer opportunities as a technical generalist, spanning artificial intelligence, infrastructure modernization, application modernization, data analytics and more. You will have a passion for building new relationships, with experience in prospecting and building out greenfield territories. You will be a part of a team of Googlers working in an environment of respect where we promote equal opportunities to succeed. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $127000 - $185000 (USD) + 42.86% bonus target + bonus + equity + benefits Learn more about benefits at Google. Responsibilities - Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. - Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud. - Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. - Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. - Lead prospecting and acquisition of new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate 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.

Title: Forward Deployed Engineer III, Generative AI, Google Cloud Remote Eligible Job Description: 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. Applicants in Playa Vista: This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in Boulder: The application window will be open until at least June 4, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Applicants in Washington State: In 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance - Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks - Baby Bonding Leave: 18 weeks - Holidays: 13 paid days per year Note: Google's hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following: In-office locations: San Francisco, CA, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Addison, TX, USA; Detroit, MI, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Miami, FL, USA; Mountain View, CA, USA; New York, NY, USA; Portland, OR, USA; Reston, VA, USA; San Diego, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA; Ann Arbor, MI, USA; Austin, TX, USA; Houston, TX, USA; Madison, WI, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA. Remote location(s): United States. Minimum qualifications: - Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. - 5 years of experience with software development using Python or similar coding languages. - Experience architecting AI systems on cloud platforms (e.g., GCP). - Experience taking production-grade AI-driven solutions from conception to launch for customers. - Experience leading technical discovery sessions with customers. - Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions. Preferred qualifications: - Master's or PhD in AI, Computer Science, or a related technical field. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. The US base salary range for this full-time position is $174,000-$252,000 + 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 - Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. - Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. - Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. - Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. - Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.