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Job Description About the Role We are looking for a highly motivated, conversational Insurance Lead Generator to join our team in Sunnyvale, TX. In this role, you will be the vital first point of contact for prospective clients, initiating outbound calls to introduce insurance products and scheduling appointments for our licensed sales agents. Key Responsibilities • Drive Lead Generation: Make high-volume outbound calls using provided lists to introduce auto, home, life, health, and commercial insurance products., • Set Appointments: Engage prospects, assess their insurance needs, and seamlessly schedule appointments for licensed agents to provide personalized quotes., • Manage the CRM: Accurately log all call interactions, update customer profiles, and schedule follow-ups in our CRM database., • Meet Targets: Consistently achieve or exceed daily, weekly, and monthly call and appointment quotas., • Ensure Compliance: strictly adhere to agency scripts and telemarketing regulations, including checking the Texas No Call Lists., • Collaborate: Work closely with agents to hand off qualified leads and support the sales pipeline (excluding policy binding/payment). What We’re Looking For (Job Requirements) • Exceptional Communicator: You speak clearly, confidently, and naturally. You avoid sounding "robotic" and excel at building instant rapport., • Active Listener & Problem Solver: You show empathy, ask clarifying questions, and identify customer pain points to match products with the right benefits., • Resilient & Goal-Oriented: You thrive in a target-driven environment, gracefully handle rejection, and stay self-motivated to keep dialing., • Organized & Tech-Savvy: You possess strong time management skills and are proficient in navigating CRM software., • Adaptable: You remain calm under pressure and can adjust your conversational style to fit different customer personalities. \nCompany Description 15+ Years in Business and focused on growing to the next level. 15+ Years in Business and focused on growing to the next level.

Job Description Outside Sales Representative – Make a Difference with Us! If you are passionate about making a positive impact and helping others, we're seeking an Outside Sales Representative who is driven to connect with people and make a real difference in their lives. What You'll Do: Connect with Clients: Visit businesses within your territory to introduce and explain our supplemental insurance products. Build Lasting Relationships: Develop meaningful connections and trust with clients as you support their needs. Enjoy Flexibility: Set your own schedule and work independently, while benefiting from a supportive team environment. Create Impact: Help clients achieve greater financial security and peace of mind with our top-quality solutions. What We're Looking For: Passion for Helping Others: A genuine desire to support and assist clients in finding the best solutions for their needs. Self-Motivated: Ability to manage your own time and work independently. Resilient Attitude: Skillful in overcoming challenges and maintaining a positive outlook. Full-Time Availability: Prepared to commit to a 40-hour work week. Our Ideal Candidate: Tough-minded, confident, and self-starting Disciplined and purposeful; with a desire to work independently Skilled at overcoming objections and not afraid of rejection Willing to work a full-time work week (40 hours) Possessing a track record of high performance or excellence Passionate about helping others Loves the hunt and likes working in a dynamic, changing work environment Overview of Duties and Responsibilities: This is an outside sales position working in your own assigned sales territory. We will train you to call on small and medium-sized businesses that operate in a variety of industries, meeting face-to-face with business owners and decision-makers to offer some of the industry's best supplemental insurance products and services to them and their employees. You will work with business owners, benefits managers, and their employees individually at times; other times, you will give product presentations with employee groups as large as 50-100+ people. You will be expected to: Respond to general emails and phone calls from clients Set follow-up appointments with prospective and current clients to review their needs Be present on scheduled calls or meetings with your sales team or manager Call on new businesses, referrals, and existing clients who need to be re-serviced Build and maintain your own book of business Meet with sales team manager as needed to discuss and set your upcoming monthly and quarterly target sales goals and quotas Develop relationships with local business owners in your territory Set your own scheduled working hours and submit them to your sales manager each week Follow up on provided sales leads and cold-call on businesses in person, balancing "cold" lead generation and sales with your warm leads and appointments with existing clients Submit your sales metrics and activity daily We Offer: Virtual classroom training as well as hands-on sales training in your own territory Weekly draw pay with bonuses and commission eligibility upon start Quarterly and annual incentive trips, cash bonuses, and stock share bonuses Advancement and promotions based on personal performance Excellent ongoing professional development, advanced sales training, and leadership training Increased schedule flexibility once you have an established book of business Work around other like-minded, driven, caring people in a culture that feels like a family Additional Position Qualifications: Already licensed in Health & Life general lines (or willing and able to obtain Health & Life producer license - licensing reimbursement offered) Bachelor's degree or a minimum of 4 years of professional (post-high school) work experience. Candidates within 6 months or less of degree completion will be considered, as will candidates with less than 4 years of professional work experience with relevant or specialized outside sales experience. If you're ready to take on a fulfilling role where your efforts directly contribute to the success and well-being of others, apply today and let's start this journey together! We do not use AI in our recruiting/interview process. Your resume will be reviewed and your interview will be conducted by one of our team members. Due to the nature of this position talking to others about insurance during difficult health topics we strongly believe this position cannot lean on AI but rather requires connecting with people.

Job Description Join Our Team as a Field Sales Representative! If you're passionate about helping others and building lasting connections, we want you on our team as a Direct Sales Representative! What You'll Do: As a key member of our team, you'll be the face of our company, connecting directly with business owners, managers, and employees in small to medium-sized companies within your territory. Each day will be different as you travel to various businesses, delivering engaging presentations and showcasing our top-notch supplemental insurance products. Why You'll Love This Role: • Engage with Businesses: Meet with decision-makers and show them the value of our products., • Build Lasting Relationships: This isn't just sales; it's about creating meaningful connections in your community., • Enjoy Independence: Manage your own schedule while being part of a supportive team., • Make a Real Impact: Help clients achieve financial security and peace of mind with our products. What We're Looking For: We're searching for enthusiastic, self-motivated individuals who are eager to learn. A background in sales is great, but your passion for helping others is what truly matters! Our Ideal Candidate: • Confident and self-starting, • Disciplined and able to work independently, • Skilled at overcoming objections and resilient, • Willing to commit to a full-time work week (40 hours), • Proven track record of excellence, • Passionate about making a difference, • Thrives in a dynamic, fast-paced environment Overview of Duties and Responsibilities: This is an outside sales position working in your own assigned sales territory. We will train you to call on small and medium-sized businesses that operate in a variety of industries, meeting face-to-face with business owners and decision-makers to offer some of the industry's best supplemental insurance products and services to them and their employees. You will work with business owners, benefits managers, and their employees individually at times; other times, you will give product presentations with employee groups as large as 50-100+ people. You will be expected to: Respond to general emails and phone calls from clients Set follow-up appointments with prospective and current clients to review their needs Be present on scheduled calls or meetings with your sales team or manager Call on new businesses, referrals, and existing clients who need to be re-serviced Build and maintain your own book of business Meet with sales team manager as needed to discuss and set your upcoming monthly and quarterly target sales goals and quotas Develop relationships with local business owners in your territory Set your own scheduled working hours and submit them to your sales manager each week Follow up on provided sales leads and cold-call on businesses in person, balancing "cold" lead generation and sales with your warm leads and appointments with existing clients Submit your sales metrics and activity daily We Offer: Virtual classroom training as well as hands-on sales training in your own territory Weekly draw pay with bonuses and commission eligibility upon start Quarterly and annual incentive trips, cash bonuses, and stock share bonuses Advancement and promotions based on personal performance Excellent ongoing professional development, advanced sales training, and leadership training Increased schedule flexibility once you have an established book of business Work around other like-minded, driven, caring people in a culture that feels like a family Additional Position Qualifications: Already licensed in Health & Life general lines (or willing and able to obtain Health & Life producer license - licensing reimbursement offered) Bachelor's degree or a minimum of 4 years of professional (post-high school) work experience. Candidates within 6 months or less of degree completion will be considered, as will candidates with less than 4 years of professional work experience with relevant or specialized outside sales experience. If this sounds like you, we want to hear from you! Join us in making a difference while building a rewarding career. Apply today! We do not use AI in our recruiting/interview process. Your resume will be reviewed and your interview will be conducted by one of our team members. Due to the nature of this position talking to others about insurance during difficult health topics we strongly believe this position cannot lean on AI but rather requires connecting with people.

Job Description Altitude is looking for competitors who bring their A-game to every play. Are you someone who thrives in the thrill of competition, always looking to outpace the competition and score the winning goal? At Altitude, we understand that sales is a full-contact sport, and we're on the hunt for individuals who approach each day like it's game day. As an Entry Level Territory Sales Associate, you'll be in the field, hustling from the first whistle to the final buzzer, using your agility and quick thinking to outmaneuver the competition. If you're driven by the challenge of setting records and beating personal bests, this role is your chance to be the MVP of your career. We know that true athletes don't just play to participate—they play to win. At Altitude, we value that competitive spirit. We want team members who will push their limits, stay on their toes, and deliver peak performance every time they're in the field. Whether you're driving a new play to secure a big sale or strategizing your next move to stay ahead of the game, Altitude provides the platform for you to shine. This is where you'll take your athletic mindset off the field and into a career where you can dominate. Position Overview: As an Entry Level Territory Sales Associate at Altitude, you'll be the point guard of your sales territory, directing the action and ensuring that every play leads to a winning outcome. Your day will involve hitting the pavement, making cold calls to businesses, and navigating the field with precision and purpose. You'll engage directly with business owners and decision-makers, demonstrating why Altitude's insurance solutions are the winning play for their company. Just like in sports, preparation and adaptability are key—you'll need to read the defense (the client's needs), adjust your strategy on the fly, and execute your sales game plan with finesse. Your ability to pivot and stay focused under pressure will make you a star in this role. And just like any great athlete, you'll also know when to pass the ball—scheduling follow-ups and closing sales at just the right moment to secure the win. This position is tailor-made for those who understand the value of teamwork but can also excel independently, driving their own success with the determination and resilience of a top-tier athlete. If you're ready to lace up your shoes, get in the game, and turn every opportunity into a victory, Altitude is the place where your athletic drive meets unlimited potential. Overview of Duties and Responsibilities: This is an outside sales position working in your own assigned sales territory. We will train you to call on small and medium-sized businesses that operate in a variety of industries, meeting face-to-face with business owners and decision-makers to offer some of the industry's best supplemental insurance products and services to them and their employees. You will work with business owners, benefits managers, and their employees individually at times; other times, you will give product presentations with employee groups as large as 50-100+ people. You will be expected to: Respond to general emails and phone calls from clients Set follow-up appointments with prospective and current clients to review their needs Be present on scheduled calls or meetings with your sales team or manager Call on new businesses, referrals, and existing clients who need to be re-serviced Build and maintain your own book of business Meet with sales team manager as needed to discuss and set your upcoming monthly and quarterly target sales goals and quotas Develop relationships with local business owners in your territory Set your own scheduled working hours and submit them to your sales manager each week Follow up on provided sales leads and cold-call on businesses in person, balancing "cold" lead generation and sales with your warm leads and appointments with existing clients Submit your sales metrics and activity daily We Offer: Virtual classroom training as well as hands-on sales training in your own territory Weekly draw pay with bonuses and commission eligibility upon start Quarterly and annual incentive trips, cash bonuses, and stock share bonuses Advancement and promotions based on personal performance Excellent ongoing professional development, advanced sales training, and leadership training Increased schedule flexibility once you have an established book of business Work around other like-minded, driven, caring people in a culture that feels like a family Additional Position Qualifications: Already licensed in Health & Life general lines (or willing and able to obtain Health & Life producer license - licensing reimbursement offered) Bachelor's degree or a minimum of 4 years of professional (post-high school) work experience. Candidates within 6 months or less of degree completion will be considered, as will candidates with less than 4 years of professional work experience with relevant or specialized outside sales experience.

Job DescriptionTreasury Management Representative – To #115K – Mesquite, TX – Job # 3728. Who We Are:The Symicor Group is a boutique talent acquisition firm based in Schaumburg, IL & Rockport, TX. Our nationally unique value proposition centers around providing the very best available banking and accounting talent. In fact, most of our recruiters are former bankers or accountants themselves!We know how to evaluate the very best banking and accounting talent available in the market. Whether you are a candidate seeking a new opportunity or a bank or company president trying to fill an essential position, The Symicor Group stands ready to deliver premium results for you. The Position:Our client is seeking to fill a Treasury Management Representative role to be based in the Mesquite, TX market. The selected candidate will be responsible for business development, consultative sales, and relationship management with commercial clients.The position includes a generous salary of up to $115K plus bonus and an excellent benefits package. (This is not a remote position) Treasury Management Representative responsibilities include: • Achieving new sales targets and portfolio revenue growth objectives., • Partnering with lenders and others to target and build opportunities for Treasury Management solutions., • Influencing and enriching the sales process through industry trend analysis, product innovation, and consultative relationship reviews., • Executing a strategic market-based sales plan to target prospects and existing customers., • Achieving annual performance metrics for new business sales, call expectations, and retention of strategic client relationships., • Growing non-interest income., • Managing pipeline for accuracy., • Representing Treasury Management in internal and external settings., • Building brand awareness., • Performing other duties as assigned. Who Are You?:You’re someone who wants to influence your own development. You’re looking for an opportunity where you can pursue your interests and your passion. Where a job title is not considered the final definition of who you are, but merely the starting point for your future. You also bring the following skills and experience: • BA/BS degree in Business, Finance, or related degree or equivalent., • Five or more years of proven treasury management sales experience., • Certified Treasury Professional (CTP) or Certified Cash Management (CCM) certification preferred., • Proven ability to drive deposits., • Experience with territory management in sales., • High level of Treasury Management product knowledge and product innovation., • Knowledge of credit and operational risk-ability to quantify potential exposure., • Industry or vertical market expertise., • Strong knowledge of market/industry trends. The next step is yours. Email us your current resume along with the position you are considering to:resumes@symicorgroup.com

Target is seeking General Merchandising / Stocking Associates to support store operations by stocking shelves, organizing merchandise, and assisting with inventory management. Associates are responsible for unloading deliveries, stocking shelves, setting up product displays, rotating inventory, organizing backroom inventory, labeling merchandise, and helping maintain store organization and cleanliness. Associates may also assist customers with locating merchandise and support online order fulfillment when needed. This position typically pays $16 to $21 per hour, with opportunities for overnight shift differential pay, overtime pay, and holiday pay depending on location and shift. General Merchandising Associates are responsible for unloading trucks, moving merchandise to the sales floor, stocking shelves, setting up promotional displays, organizing backroom inventory, labeling merchandise, assisting customers, and maintaining store organization and safety standards. Overnight and early morning shifts often focus on stocking and preparing the store for opening. Full-time and part-time employees may be eligible for benefits including health, dental, and vision insurance, 401(k), paid time off, Target employee discount, tuition assistance programs, and opportunities for advancement into Team Lead or management roles. Some locations may also offer attendance incentives and performance-based bonuses.

Target is seeking Guest Advocates / Guest Associates to assist customers, operate registers, and support front-end store operations. Guest Advocates are responsible for greeting customers, scanning items, processing payments, handling returns and exchanges, assisting customers with Target Circle and Target app services, monitoring self-checkout stations, and maintaining a clean and organized checkout area. Associates may also assist with order pickup, drive-up orders, and guest service desk responsibilities. This position typically pays $15 to $19 per hour, with opportunities for overtime pay, holiday pay, and shift differential pay for early morning, overnight, or weekend shifts depending on location and experience. Guest Advocates are responsible for providing customer service, operating registers, processing payments, assisting with returns, helping customers with self-checkout, assisting with online order pickups and drive-up orders, answering customer questions, and maintaining front-end organization and cleanliness. Employees must follow Target customer service procedures, cash handling procedures, and front-end operational guidelines. Full-time and part-time employees may be eligible for benefits including health, dental, and vision insurance, 401(k), paid time off, Target employee discount, tuition assistance programs, and opportunities for advancement into Team Lead or management roles. Some locations may also offer attendance incentives and holiday pay.

Job DescriptionSales Representative We’re looking for remote part time or full time independent sales representatives to market a highly unique identity theft protection service to consumers, business owners, and as a voluntary benefit to employee groups. There is virtually no competition in our target markets yet we only have a small percentage of the market so far and we are looking for more qualified reps. Commission only with advanced commissions at each sales reps request. We also pay performance bonuses and most importantly, ongoing and repeat residuals for the life of each customer. Commissions and bonuses are paid daily. Lots of our part time and full time reps are doing very well with us and this opportunity is truly unlimited for the right person. A strong sales background is desired for full time but not required for part time as we have several successful part time reps who had no sales experience. What we offer our sales team: • Remote work with virtual selling across the US, • No territories and no sales quotas, • Robust initial training program, • On-going training by top producers, • Performance bonuses and trip incentives Get back to us and a member of our executive team will reach out to schedule an initial Zoom or phone call interview to learn more about you and discuss details on this rare opportunity. www.superiorlifesolutions.com

Job Description Ritter Communications, headquartered in Jonesboro, Arkansas, is the largest privately held telecom provider serving the Mid-South. Recognized as one of Arkansas' Best Places to Work for five years running, we deliver world-class broadband fiber, telecom, video, and data center services. With rapid growth and millions invested in advanced infrastructure, we now serve 197 communities and over 60,000 customers across six states. At Ritter Communications, our team combines cutting-edge technology with a customer-first mindset - and we're looking for talented individuals who share our passion for excellence and community impact. General Summary: The Enterprise Sales Representative is responsible for the sale of company products and services to current and potential customers throughout service markets. This role provides leadership towards the achievement of maximum profitability and revenue growth in line with company vision and values by visiting prospective customers in person and calling via phone. The Enterprise Sales Representative develops long-term relationships, becomes the trusted advisor to the customer, generates leads, creates sales and proposes complete solutions for prospects. What You'll Do: • Meets or exceeds monthly, quarterly, and annual sales expectations using consultative sales approach in a direct business to business sales environment;, • Generates leads, creates sales presentations and proposals, completes contracts and closes the sale, sets proper expectations to ensure delivery of services;, • Consults with potential customers about their applications and presents solutions that meet their needs emphasizing marketable features, pricing options, and credit terms;, • Remains knowledgeable of products and services and remains aware of competitors' services, offers, and initiatives; What You'll Bring: • Previous experience in enterprise business-to-business sales;, • Strong communication and interpersonal skills;, • Strong time management skills and the ability to work in a fast-paced environment;, • Ability to travel for business requirements; must possess a valid Driver's License with a satisfactory driving record. Compensation & Benefits: • Total target income (base pay + targeted commission): $100,315. Commission plans are subject to change at management discretion;, • Uncapped earning potential through performance-based commissions;, • Mileage reimbursement;, • Paid training;, • Comprehensive benefits (medical, dental, vision, cancer, accident, and life insurance);, • Health Savings Account;, • Short-term and long-term disability coverage;, • Paid time off;, • 401k matching + 401k non-elective contribution;, • Flexible Spending Account;, • Discounted Ritter Communications services;, • Free gym membership;, • Tuition reimbursement. Ritter Communications is an equal opportunity and affirmative action employer; all qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We strive to maintain a drug-free workplace. We offer competitive compensation and an outstanding benefits package including health, dental, vision, cancer, accident and life insurance, short-term and long-term disability, 401(k) with company match, flexible spending accounts, free gym membership, company discounts, tuition reimbursement, paid training, paid leave, and much more!

Position Overview Looking for steady OTR miles without the hassle of touch freight? We are seeking Class A drivers for nationwide 48-state dry van runs. This position offers consistent 2,200-mile weekly averages, 100% hands-off freight, and dedicated home time schedules. Pay & Operational Specs • Earnings: $1,250 – $1,450+ weekly ($65.2K to $75.5K yearly target), • Mileage Rates: Base pay ranges from $0.57 to $0.66 CPM tied to your years of experience, • Workload: ~2,200 miles/week average (solo driver operation), • Cargo Handling: Completely hands-off (100% no-touch; drop-and-hook mixed with live reloads), • Home Time Routine: Out 2–3 weeks at a time, followed by 2–3 full days home, • Tractor Type: Late-model condo sleepers (drivers must secure safe parking for home resets), • Full Benefits: Medical, dental, vision, PTO, and company 401(k) match starting after 60 days Requirements • Commercial Driver's License (Class A), • At least 90 days of verifiable CDL-A experience within the past 6 months, • Good MVR and clean background check, • Must clear standard DOT drug tests (includes urine and hair testing) Quick Summary of Key CPM Tiers • 0 – 12 Months: $0.57 CPM, • 13 – 24 Months: $0.58 CPM, • 25 – 36 Months: $0.59 CPM, • 37 – 48 Months: $0.60 CPM, • 49 – 60 Months: $0.61 CPM, • 10+ Years: $0.66 CPM

Useful things to include: - Where it's going (Instagram, YouTube, your website, a trade show loop) and target length - Tone and pacing — punchy and fast, calm and documentary, something else - Music preferences, or whether you're supplying a track - Captions or subtitles, and in what style - Brand

De-escalation as well as experience with physical security controls and culture. As a Target Security Specialist, no two days are ever the same, but a typical day will most likely include the following responsibilities:. Promote a physical security culture for our team members and guests by assessin

Manage a global executive calendar and travel to optimize the executive's time and ensure alignment with business priorities, including preparing briefing materials.Manage expense management, purchasing, and budget tracking with discretion and accuracy.Advocate and implement productivity tools, including generative AI, to proactively administrative workflows and drive operational excellence across the organization.Lead the end-to-end planning and execution of executive-sponsored programs and team events, managing logistics, vendors, and cross-functional partners.Act as a confidential and professional liaison between the executive, their direct reports, and key internal/external partners, providing administrative and organizational support.Minimum qualifications:3 years of administrative experience in a technology or international environment working on core administrative tasks (e.g., travel management, expense reports, calendar management, facilities coordination, etc.).Experience with leveraging Artificial Intelligence (AI) tools to automate tasks and administrative workflows and optimize project management.Preferred qualifications:6 years of administrative experience supporting executive-level management, including leading operational programs (e.g., annual planning cycles) and managing events from pre-planning to execution.Experience acting as a point of contact for external-facing stakeholders, such as customers or partners, with professionalism and diplomacy.Experience with commercial and technical aspects of Cloud Computing and Enterprise Artificial Intelligence (AI) solutions.Ability to provide counsel, manage ambiguity, and maintain composure under engaging priorities.Excellent financial acumen related to purchase orders, vendor agreements, and quarterly budgeting.Google Cloud Artificial Intelligence (AI) is at the forefront of the technological revolution, accelerating customer transformation with solutions built around three pillars: Application Programming Interface (APIs), Agents, and Applications. We are a unified organization, bringing together engineering and product teams to build resilient, quality Enterprise AI systems. Our mission is to empower global customers, ensuring they can leverage AI to solve their business tests.In this role, you will serve as the essential organizational partner to the executive leaders in a growth environment. You will be responsible for anticipating their needs, optimizing their time management, and managing team-wide operational excellence. You will serve as the trusted central liaison for internal and external stakeholders. You will be leveraging new productivity tools and processes to resolve administrative and operational issues before they arise, enabling the Cloud AI team to stay focused on delivering the mission.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $96000 - $137000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.3 years of administrative experience in a technology or international environment working on core administrative tasks (e.g., travel management, expense reports, calendar management, facilities coordination, etc.).Experience with leveraging Artificial Intelligence (AI) tools to automate tasks and administrative workflows and optimize project management.

Design and build recommendation systems for AI Agents.Develop skill discovery and matching capabilities for AI Agents.Develop and implement investigative tools for AI Agent performance.Manage stakeholders effectively and solve ambiguous technical issues, contributing to the overall strategy and roadmap for the team.Provide coaching to your team, and contribute to Google's culture and operations.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).Preferred qualifications:Master's degree or PhD in Computer Science or a related technical field.5 years of experience with data structures and algorithms.3 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. Our mission is to develop conversational AI agents capable of engaging in complex, open-ended dialogue and completing autonomous tasks. The agent ecosystems we build are autonomous and self-healing.In this role, you will manage the end-to-end developer journey, covering Build, Evaluate, Optimize, Deploy, and Monitor phases. You will work on agentic development workflows, building upon the frontend capabilities of the current GECX console, CES BE infrastructure, Python tools, ML Evals and more.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsCanada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Toronto, ON, Canada; Waterloo, ON, Canada; New York, NY, USA.Bachelor’s degree or equivalent practical experience.5 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.Identify and write all types of coverage measures for stimulus and corner-cases.Debug tests with design engineers to deliver functionally correct design blocks.Close coverage measures to identify verification holes and to show progress towards tape-out.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.4 years of experience with design verification.Experience with SystemVerilog/Verilog.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.6 years of experience with silicon design verification.Experience contributing across the entire design and verification life cycle.Experience optimizing tools, flows, and methodologies to improve efficiency.Experience with scripting languages (e.g., Python or Perl).Excellent problem-solving and communication skills.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.As an ASIC Design Verification Engineer, you will use design and verification expertise to verify complex digital designs. You will collaborate closely with design and verification engineers in active projects and perform direct verification. Using SystemVerilog coding and problem-solving skills, you will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will be responsible for the full lifecycle of verification, from verification planning to test execution, to collecting and closing coverage.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.4 years of experience with design verification.Experience with SystemVerilog/Verilog.

Drive the design, optimization, and qualification of complex manufacturing processes, ensuring all tooling, software, and documentation are delivered on time and within budget.Lead Design for Excellence (DfX) initiatives for complex components, influencing technical designs to improve manufacturability, cost, quality, and overall availability.Champion the Root Cause Corrective Action (RCCA) process by directing investigations into technical failures and guiding teams to effectively apply analytical principles. Implement robust statistical process controls by defining critical parameters, analyzing data to identify improvement opportunities, and maintaining essential manufacturing equipment.Develop comprehensive manufacturing strategies, including partner selection and the integration of advanced technologies, to enhance production efficiency and supply continuity. Steer manufacturing test development for new and existing product designs, driving improvements to test platforms and software solutions to ensure high-quality releases.International travel required 20% of the time to unanticipated worksites. Minimum qualifications:Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Electrical Engineering, or a related field and 4 years of progressive, post-baccalaureate experience in the job offered or in a Manufacturing Engineer -related occupation.Position requires 4 years of experience in the following: Manufacturing Process Engineering or Manufacturing Assembly Process Development; Production Failure Analysis and Root Cause Analysis or Corrective and Preventive Action (CAPA) Management; Statistical Process Control (SPC) or Data Analytics for Manufacturing; Hardware Product Development Lifecycle Management or New Product Introduction (NPI) Management; and Technical Project Management or Engineering Project Leadership.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 $170,250 - $209,000+ 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, Electrical Engineering, or a related field and 4 years of progressive, post-baccalaureate experience in the job offered or in a Manufacturing Engineer -related occupation.Position requires 4 years of experience in the following: Manufacturing Process Engineering or Manufacturing Assembly Process Development; Production Failure Analysis and Root Cause Analysis or Corrective and Preventive Action (CAPA) Management; Statistical Process Control (SPC) or Data Analytics for Manufacturing; Hardware Product Development Lifecycle Management or New Product Introduction (NPI) Management; and Technical Project Management or Engineering Project Leadership.

Accelerate customer adoption of Google Cloud by leading the implementation journey. Provide technical guidance and manage timelines, milestones, migration goal and business transformation strategies.Advocate for customer needs in order to overcome adoption blockers and drive new feature development. Lead across multiple work streams and teams to maintain customer momentum.Develop relationships with stakeholders to understand customer’s business, develop roadmaps, and lead quarterly business reviews and executive sessions to better understand business and technical needs.Plan for customer events and launches, partnering with Support, Engineers, and Site Reliability Engineers to ensure customer success, and work with customers and Support to guide issues/escalations to resolution.Develop best practices and assets based on learnings from customer engagements to support initiatives to scale through partners and accelerate Google Cloud adoption.Minimum qualifications:Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.5 years of experience in a customer-facing role working with stakeholders, leading customer technical implementations or transformation programs.Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, or escalation management.Experience in cloud consulting.Preferred qualifications:MBA or Master’s degree in a Management, Technical, or Engineering field.Experience translating business requirements into technological solutions.Experience in application or workload migration to public cloud providers.Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver high-impact solutions.Understanding of IT operations, database systems, networking, IT security, application development, service architecture, cloud-native application development, hosted services, storage systems, or content delivery networks.Excellent written and verbal communication, presentation, problem-solving, and client management skills.The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.As a Technical Account Manager (TAM), you will help customers successfully adopt Google Cloud products. You will lead the successful adoption of Google Cloud at organizations, guiding them through the technical facets of their Google Cloud transformation journey. You'll manage the successful delivery of Cloud Consulting engagements to drive customer adoption of Google Cloud services. In this role, you will regularly engage with various stakeholder groups, including leadership of enterprises and a cross-functional and geographically dispersed team.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $114000 - $163000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.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; San Francisco, CA, USA.Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.5 years of experience in a customer-facing role working with stakeholders, leading customer technical implementations or transformation programs.Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, or escalation management.Experience in cloud consulting.

Work separately to create and review management and control subsystem's design microarchitecture specifications.Develop SystemVerilog RTL to implement logic for ASIC products according to established coding and quality guidelines.Work with architecture and power teams to evaluate features and their impact.Work with design validation (DV) teams to create test plans to verify, and debug design RTL.Work with physical design teams to ensure design meets physical requirements and timing closure.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.Experience with scripting languages.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.8 years of experience in ASIC design.Experience interacting with software, system hardware, and other cross-functional teams.Experience with chip management, clocking, reset, and peripherals like I2C, SPI, UART, etc.Understanding of digital design fundamentals, including synchronous and asynchronous logic, state machines and bus protocols.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will join a team working on SoC-level Register-Transfer Level (RTL) design for our data center accelerators. You will design RTL Intellectual Property (IP) with the focus on management and control subsystem, also participate in developing infrastructure and methodology that form the foundation of our SoCs (i.e., clocking, reset, error handling, debug, chip management and SOC chassis etc.). You will build a global understanding of how our accelerators are built from concept to production. This is a highly cross-functional role that will require you to coordinate and co-design with our software and system hardware counterparts. You will utilize, a background in RTL design, and the ability to lead to multi-faceted efforts involving many stakeholders.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 channel 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.

Define and document complex microarchitecture for the TPU, writing high-quality, performant, and power-efficient RTL code primarily in SystemVerilog.Partner with cross-functional teams to drive block-level and chip-level integration efforts for the machine learning accelerators.Collaborate closely with the verification team to develop robust test plans, debug RTL, and guarantee overall functional correctness.Support post-silicon validation and debugging efforts while contributing to the continuous enhancement of internal design tools, flows, and methodologies.Work closely with the physical design team to meet timing, area, power, and manufacturability requirements.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.4 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.Design experience optimizing for performance, power, and area.Experience with digital design fundamentals and microarchitecture design.Experience working cross-functionally with DV and PD teams.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.4 years of RTL design experience.Experience with Linting, CDC, RDC, LEC.Experience with Scripting languages (i.e. Python or Perl).Experience with integration.Experience optimizing RTL solutions, RTL design methodologies and automate front-end engineering flows.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will join the team designing and developing the On-Chip Network of Google's next-generation Tensor Processing Units (TPUs), the custom-built accelerators powering our AI and machine learning workloads in datacenters. You will be responsible for the microarchitecture, design, implementation, and integration of key digital logic blocks within the TPU. This role requires close collaboration with cross-functional teams, including verification, physical design, validation, and firmware, to deliver hardware. You will own critical design deliverables, help with integration efforts, and contribute to the continuous improvement of our design methodologies and flows.As an RTL Design Engineer on the TPU team, you will be a key contributor to the development of Google's AI accelerators. You will leverage your expertise in digital logic design, computer architecture, and RTL coding to create innovative and efficient hardware 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.4 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.Design experience optimizing for performance, power, and area.Experience with digital design fundamentals and microarchitecture design.Experience working cross-functionally with DV and PD teams.

Develop detailed silicon test plans, based on design specifications and coordination with a cross-functional silicon team (architecture, design, software, firmware) for Google's Tensor Processing Units (TPUs).Implement test plans by developing software tests and flows for system validation and verification, then utilize it all to test hardware, collect data, and characterize the operation of HBMs in both test chips and production silicon.Triage and debug issues found during new product development and find solutions.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.2 years of experience in bringing up ASICs, performing functional and performance validation, or debugging failures.Experience scripting in Python or a similar programming language.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture, or a related field.2 years of experience with C++/Python software design principles.Experience bringing up high-power ASICs and working with memories.Experience with reading hardware description languages (SystemVerilog) and chip design flow, and building test automation tools and scripts.Passion for unusual computer architectures.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will work on test design, bring-up, triage, and debug of the TPU High Bandwidth Memory (HBM) subsystem across emulation, test chip, and production silicon platforms. You will work closely with Silicon Validation, HBM technologists, and pre-silicon teams during the development phase of the ASIC life-cycle, ensuring proper features are in place for post-silicon validation and debug. Once silicon is in the lab, you will collect and help interpret data alongside system software and software test infrastructure developers to ensure the HBM subsystem has met the threshold for production release.You will help develop processes and tests to ensure smooth and reliable performance of HBM projects. You will be direct throughout the project lifecycle, from early pre-silicon planning and test development, through end-of-life characterization and failure debug. By leveraging silicon knowledge you will develop and operate software-based tests for full investigation of HBM operation.You will work closely with hardware and software teams to successfully validate designs, identify design issues, and gain insight into the requirements for full ASIC test coverage.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.2 years of experience in bringing up ASICs, performing functional and performance validation, or debugging failures.Experience scripting in Python or a similar programming language.

Design low-cost and high-speed optical transceivers for data center applications.Develop optical systems and architectures to scale TPU and GPU superpods.Identify, research, evaluate emerging photonic networking technologies.Explore optical technologies to disaggregate and improve the efficiencies of future computing systems.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.6 years of experience working in a high-speed datacom technical environment.5 years of experience in digital coherent optical transmissions.Preferred qualifications:PhD in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience. Experience with script writing and test and measurement system automation.Proficiency in digital signal processing, high-speed optoelectronic circuit simulation or system modeling.Knowledge of large volume high-speed optical transceiver designs and manufacturing.Knowledge of data center network and machine learning system architectures.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. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.6 years of experience working in a high-speed datacom technical environment.5 years of experience in digital coherent optical transmissions.

Act as a key financial partner and advisor to the Google Cloud Americas sales leadership, particularly for the Strategic Accounts & Independent Software Vendors (SAISV) super subregion, providing insights to drive business growth and profitability.Collaborate with the sales, pricing, DPO, and accounting team and provide financial guidance to support the good agreements making process.Drive key initiatives ("Big Rocks") and projects focused on value creation and margin optimization.Conduct in-depth financial analysis and identify trends, opportunities, and risks; oversee the financial management of Billing Modifications (BMODs), ensuring financial accuracy and operational efficiency.Lead the monthly forecasting and performance reporting cadence, delivering clear and actionable insights on business performance and the annual planning processes for the Google Cloud Americas Finance organization.Minimum qualifications:Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.10 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.Preferred qualifications:12 years of experience in high-quality corporate finance, consulting, or investment banking, ideally focused on business-to-business (B2B) technology and cloud strategy.Demonstrated experience in financial modeling, forecasting, and analysis.Proficiency with financial systems and tools (e.g., SAP, Anaplan, Google Sheets).Ability to grow in a changing, ambiguous, and rapidly changing environment.Excellent communication and people-management skills, with a proven ability to partner with and influence executive business leaders.The Cloud Sales Finance team serves as the financial co-pilot to the Americas Sales organization, dedicated to accelerating profitable growth. In this role, you will provide actionable, data-driven insights to steer critical business decisions, from long-range planning to individual agreements profitability. Through performance management, investment frameworks, and a focus on operational excellence, we empower our sales partners to achieve their goals and drive long-term value for Google Cloud.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $171000 - $247000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Chicago, IL, USA.Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.10 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Lead the technical goal and execution for AutoCloud Agentic Systems, ensuring alignment with product goals and user needs.Drive the end-to-end development life-cycle of features, from ideation and prototyping to deployment, monitoring, and iteration, ensuring high quality, scalability, and performance.Develop technology strategy and phased plans alongside product to drive product improvements or process simplifications.Partner with cross-functional leaders across Google Cloud and AutoCloud to drive alignment and deliver customer value.Define and advocate for best practices in AI development, and software engineering, ensuring robust and reliable systems.Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience with software development.5 years of experience in leadership, people management and hiring mentoring and retaining talent across global locations.2 years of experience with Generative AI.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.5 years of experience working in a complex, matrixed organization.Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.AutoCloud is the Google Cloud autonomous AI powered cloud management product portfolio that transforms the experience of our customers across all surfaces from design, deploy, operate, investigate and optimize their applications, workloads and services.The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. As a Senior Engineering Manager, you will strategize, build, and develop AutoCloud and transform how enterprise customers consume and manage their businesses in the cloud, can influence and work across Google Cloud, DeepMind and external AI ecosystem.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.8 years of experience with software development.5 years of experience in leadership, people management and hiring mentoring and retaining talent across global locations.2 years of experience with Generative AI.

Provide technical leadership on high-impact projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large scale software solutions.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience programming in C++.5 years of experience building and developing large-scale infrastructure, distributed systems and networks.3 years of experience with software design and architecture.3 years of experience in a technical leadership role leading project teams and setting technical direction.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures and algorithms.3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.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.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience programming in C++.5 years of experience building and developing large-scale infrastructure, distributed systems and networks.3 years of experience with software design and architecture.3 years of experience in a technical leadership role leading project teams and setting technical direction.

Job DescriptionJob Summary The AV Platform team designs, develops, and maintains the foundational embedded software platform for GM’s software-defined vehicle (SDV) and AV solutions, including operating systems, board support packages (BSP), drivers, and the core software stack for high-compute SoCs. The Staff Software Engineer – Platform OS will provide technical leadership for Linux/QNX-based platform OS development on current production Super Cruise programs, with primary focus on platform OS debugging, BSP integration, low-level system services, kernel and user-space interfaces, and robust embedded system architecture. This role will lead low-level platform bring-up, cross-layer debugging, and integration of core OS services required to deliver a robust, secure, and production-ready compute platform for vehicle programs. What You’ll Do Lead Linux/QNX platform OS development and integration for current production Super Cruise programs, ensuring BSP, drivers, platform services, middleware, and core OS components operate as a cohesive, production-ready system. Own platform BSP bring-up, integration, and debugging across Linux- and QNX-based environments, including boot flow, startup, board configuration, peripheral enablement, and low-level system initialization. Design, implement, and maintain low-level platform services, system daemons, kernel-adjacent components, and resource-managed interfaces for custom hardware and core platform functionality. Define and maintain key aspects of platform OS architecture, including process and service partitioning, IPC mechanisms, scheduling behavior, interrupt handling, and system resiliency. Develop software in Embedded C/C++ for low-level operating system components, board support package layers, hardware abstraction, drivers, and system libraries. Drive board and platform bring-up for current production of Super Cruise hardware, including clocks, memory, storage, networking, PCIe, UART, SPI, I2C, and other platform peripherals. Debug complex cross-layer issues spanning bootloaders, kernels, OS services, drivers, middleware, and applications using logs, traces, dumps, and lab tools. Use platform debugging and performance tools such as gdb, core dumps, JTAG, serial consoles, tracing, logging, and bench instrumentation to isolate and resolve system issues across Linux and QNX environments. Define and maintain clean interfaces between OS/BSP, platform middleware, vehicle software layers, and application teams. Support and improve platform reliability through requirements generation, automated testing, CI/CD integration, issue tracking, code reviews, and regression validation. Partner closely with silicon vendors, suppliers, security teams, validation teams, and release teams to review designs, close interface gaps, and ensure program execution. Drive technical direction for platform OS architecture, including scalability, performance, fault isolation, maintainability, and debug-ability. Mentor engineers on platform OS internals, BSP architecture, bring-up strategy, debugging techniques, and integration best practices. Provide regular technical status, risks, and mitigation plans to leadership and cross-functional stakeholders. Perform other related duties as assigned. Basic Qualifications 12+ years of experience in embedded systems, platform OS, BSP, or low-level systems software development. Strong hands-on experience with Linux, QNX, or other embedded/POSIX operating systems in production or advanced embedded development environments. Strong proficiency in Embedded C/C++ development for low-level system software. Experience with platform OS debugging, including analysis of boot issues, process or service failures, IPC or synchronization issues, memory or timing issues, and device bring-up problems. Experience designing and implementing low-level platform services, system daemons, or resource-managed interfaces. Solid understanding of embedded OS architecture, including process isolation, scheduling, interrupts, IPC, services, and system startup flows. Experience with board bring-up and BSP integration on ARM or x86-based SoCs. Experience with bootloaders, startup flows, hardware initialization, and board configuration for embedded platforms. Demonstrated experience debugging issues across multiple layers of the stack, including bootloaders, kernels, OS services, drivers, middleware, and applications. Experience building, testing, and shipping production-quality embedded/POSIX systems. Experience with CI/CD pipelines, build systems, and integration of workflows in large multi-team environments. Familiarity with common hardware interfaces and protocols such as PCIe, Ethernet, CAN, SPI, I2C, UART, USB, and storage subsystems. Strong collaboration, communication, and technical leadership skills. Preferred Qualifications Experience with current production Super Cruise programs or similar high-compute automotive SoC platforms. Experience integrating Linux and/or QNX BSPs, platform software drops, supplier deliverables, and internal baselines. Experience in automotive, ADAS, AV, robotics, or other safety-critical systems. Familiarity with ROS or mixed-OS environments involving Linux, QNX, or RTOS systems. Experience with secure boot, signed images, system hardening, HSM integration, and OTA/software update flows. Experience with system performance tuning across CPU, memory, latency, throughput, and I/O. Experience with multi-core, SMP, or AMP embedded system configurations. Experience supporting validation on benches, HIL rigs, and target ECUs. Experience influencing supplier technical direction and reviewing low-level architecture and implementation quality. Experience mentoring senior and mid-level engineers in platform OS and debugging disciplines. Success Profile A successful candidate for this role is a strong low-level systems engineer who can move effectively between architecture, implementation, debugging, integration, and technical leadership. They bring deep expertise in Linux and/or QNX platform software, are comfortable owning difficult platform issues on current production Super Cruise programs, and can guide teams through the complexity of building reliable, secure, high-performance vehicle compute software. Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $185,600 to $304,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Benefits: Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits. About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.SummaryLocation: Sunnyvale, California, United States of America; Warren, Michigan, United States of AmericaType: Full time

Work independently to create and review clock control subsystem's design micro-architecture specifications.Develop SystemVerilog RTL to implement logic for ASIC products according to established coding and quality guidelines.Work with architecture and power teams to evaluate features and their impact.Work with Design Validation (DV) teams to create test plans to verify, and debug design RTL.Work with physical design teams to ensure design meets physical requirements and timing closure.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.2 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.Experience with digital clock control circuits, including clock dividers, glitch-free muxes, and clock gating.Experience in SystemVerilog for creating microarchitecture specifications and synthesizable RTL.Experience using Python, Tcl, or Perl for automating design tasks and data analysis.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.5 years of experience with high-performance ASIC design in Phase-Locked Loop, Frequency-Locked Loop, and Delay-Locked Loop integration.Experience implementing clock skipping, Dynamic Voltage and Frequency Scaling (DVFS), and fine-grained clock gating for low-power SoC optimization.Knowledge of processor design or accelerators and of high-performance and low power design techniques.Proficiency in Python or Perl for automating design scripts and analyzing complex clock-tree data.Understanding of clock distribution challenges, including jitter, skew management, and duty-cycle distortion.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we have got to make it ourselves. Our team designs and builds the hardware, software and networking technologies that power many Google's services.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.2 years of experience in ASIC RTL design, with a focus on clocking, reset, or timing-critical RTL development.Experience with digital clock control circuits, including clock dividers, glitch-free muxes, and clock gating.Experience in SystemVerilog for creating microarchitecture specifications and synthesizable RTL.Experience using Python, Tcl, or Perl for automating design tasks and data analysis.

Drive the organization to deliver roadmap in the areas of platform qualification, software release, and hardware diagnostics.Apply first principles to deliver flexible, optimized, scalable, reliable, and secured software solutions.Leverage AI/ML to deliver highly optimized and adaptive solutions.Bring teams together to deliver complex and innovative software solutions in a timely manner.Minimum qualifications:Bachelor’s degree in Electrical Engineering or Computer Science, or equivalent practical experience.18 years of experience in software development, architecture, and testing.Experience in hardware testing, deployment, and managing the diagnosis and repair of deployed fleet systems.Experience in distributed networks, compute/storage technologies, and release tools for operational efficiency.Experience leading matrix organizations with team exceeding 300 people.Preferred qualifications:Master's degree or PhD in Computer Science or related technical field.Experience interacting with senior customer stakeholders (CTOs, Chief Architects) to represent the technical vision of the organization.Management experience leading distributed engineering organizations working on multiple products concurrently.Deep technical understanding of high-performance platforms.Demonstrated track record of influencing cross-functional teams (Product, Engineering, Research) to deliver complex technical outcomes.Platforms Infrastructure Engineering (PIE) is a cornerstone organization within Google's AI & Infrastructure (AI2) division.PIE's core mission is the end-to-end technical execution, design, development, and delivery of Google's next-generation cloud and AI computing hardware systems, platforms, and physical infrastructure. With key objectives around: Hardware Lifecycle Management, Platform Development & Infrastructure Delivery.As a Senior Director in Capacity assurance, this role is required to lead a large organization of 300+ Googlers in a matrix structure and be responsible for delivering the systems that manage machine state, developing the necessary hardware qualification tests that ensures that our fleet is reliable, properly configured and healthy enough to perform its mission.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $364000 - $505000 (USD) + 40% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree in Electrical Engineering or Computer Science, or equivalent practical experience.18 years of experience in software development, architecture, and testing.Experience in hardware testing, deployment, and managing the diagnosis and repair of deployed fleet systems.Experience in distributed networks, compute/storage technologies, and release tools for operational efficiency.Experience leading matrix organizations with team exceeding 300 people.

Contribute to design power modeling and drive convergence to power targets.Investigate, spec, and deploy architectural and microarchitectural power optimization techniques.Define best practices and methodologies to achieve low-power RTL designs.Collaborate with cross-functional software and system teams to create novel power management architectures to meet dynamic power targets.Be the technical lead of an experienced power team. Own the execution and delivery of complex technical projects end to end.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.10 years of experience in design or architecture (e.g., logic design, power architecture, performance, or SoC design).Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.Experience defining and implementing chip-wide power management architectures and designs.Experience in power modeling, measurement, and correlation across the pre- and post-silicon phases.Experience with technical leadership and project ownership with a track record of successful delivery.Understanding of modern power and thermal management techniques at both the silicon and system levels (including Dynamic Voltage and Frequency Scaling (DVFS), Turboing, Thermal Management, and System-Level Tradeoffs).Ability to solve open-ended power and performance problems under ambiguity.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.As part of the TPU power design team, you will play a pivotal part in the improving power efficiency of our TPUs. You will drive power efficiency for our TPU designs, starting from building robust power models to proposing novel power optimization techniques. An ideal candidate would possess a deep background in modeling and optimizing chip power, as well as have an understanding of system level power considerations and tradeoffs.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.10 years of experience in design or architecture (e.g., logic design, power architecture, performance, or SoC design).Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.

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.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.Experience developing accessible technologies.2 years of experience with data structures and algorithms.Proficiency in code and system health, diagnosis and resolution, and software test engineering. 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.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.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.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.

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical goal and roadmap within the scope of your (often multiple) teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Minimum qualifications:Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).3 years of experience in a technical leadership role.2 years of experience in a people management or team leadership role.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience working in a complex, matrixed organization.Familiarity with Kubernetes development, cloud platforms, or on-premises environments.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 extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).3 years of experience in a technical leadership role.2 years of experience in a people management or team leadership role.

Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.Implement Generative Artificial Intelligence (GenAI) solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.Minimum qualifications:Bachelor’s degree or equivalent practical experience.2 years of experience programming in Python or C++.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.Preferred qualifications:Master's degree or PhD in Computer Science, or a related technical field.Familiar with modern Large Language Model (LLM) and agent technologies, such as agent harnesses, evaluation frameworks, and hill-climbing optimization.Passionate about pushing the boundaries of AI adoption in the enterprise world.Our mission is to engineer the platform for building and running AI agents, apps and workflows on Google Cloud. We are at the heart of Google Cloud's strategic pivot to an agent-first world, creating the foundational platform where intelligent, autonomous agents will be born, operate, and scale.This platform will serve as the core connective tissue for all of Google Cloud, enabling seamless interaction between Google services, third-party applications, and enterprise data. We build the systems that allow an AI to reason, plan, and act. Our platform will provide the foundational backbone for first-party Google products like cloud assist and Vertex AI agents, and will empower third-party developers to build their own agentic applications.In this role, you’ll have a unique opportunity to replicate a startup experience within Google.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.2 years of experience programming in Python or C++.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.

Refine and drive GCBP's H1/H2 planning processes, tooling standardization (chiron/taskflow/servicenow), and comprehensive Software Development Life Cycle (SDLC) monitoring and reporting.Lead GCBP's OKR Management life-cycle, encompassing annual development, metrics definition, and quarterly tracking.Optimize GCBP's business cadence, including operational reviews such as objectives and key results (OKR) and initiative reviews, to ensure strategic alignment and execution.Manage commitment and delivery communications to stakeholders, ensuring they are informed and aligned on progress.Oversee audit and compliance activities to ensure adherence to organizational standards and mitigate risk. Manage team of 10 locally and internationally.Minimum qualifications:Bachelor's degree in a technical field, or equivalent practical experience.10 years of experience in program management.8 years of experience in management consulting, product management and strategy, or analytics in a technology company.5 years of experience managing teams. Experience working with and analyzing data, and managing multiple projects.Experience with resource management, audit compliance, and process management.Preferred qualifications:10 years of experience managing complex cross-functional or cross-team projects.Experience in managing complex, global and cross-functional projects.Ability to optimize business cadence, including operational reviews such as OKR and initiative reviews ensuring strategic alignment and execution.Ability to oversee audit and compliance activities to ensure adherence to organizational standards and mitigate risk.Ability to influence and engage with cross-functional teams and executive stakeholders, driving alignment and achieving results.A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Google Cloud accelerates every organization’s digital transformation by delivering enterprise-grade solutions that leverage Google’s technology and tools to help developers build more sustainably. Customers around the world turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Our primary objective at Google Cloud Business Platform (GCBP) is to enable Google Cloud’s scale. We are a product and engineering organization responsible for the applications and platforms that drive cloud marketing, sales, partner, support, finance and other critical functions that run the Google Cloud business. We deliver solutions leveraged by Cloud Customers, Partners, and Googlers alike that enable rapid growth and increase the adoption of Google Cloud around the world.We operate in a dynamic and fast-paced environment with significant opportunities to create impact, and are looking for people who want to join this exciting journey and address business challenges at scale to drive continued growth.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240000 - $333000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in a technical field, or equivalent practical experience.10 years of experience in program management.8 years of experience in management consulting, product management and strategy, or analytics in a technology company.5 years of experience managing teams. Experience working with and analyzing data, and managing multiple projects.Experience with resource management, audit compliance, and process management.

Lead, mentor, and grow a team of systems software engineers, fostering a collaborative, and high-performance engineering culture.Drive the architectural design, implementation, and optimization of core Linux kernel components to meet Google’s compute infrastructure demands.Partner with other Tech Leads, and cross-functional partners to align execution roadmaps, set technical boundaries, and deliver on critical milestones.Advocate engineering excellence, robust testing methodologies, and performance profiling to eliminate system regressions and data integrity risks.Work closely with platform infrastructure and Google Cloud leadership team, including obtaining strategic and architectural approvals from executive leadership to launch new platform features.Minimum qualifications:Bachelor’s degree, or equivalent practical experience.8 years of experience in software development.3 years of experience in a technical leadership role.Experience in people management (guiding technical teams, resource allocation, and mentoring).Experience in computer architecture and low-level system software development in C.Experience with operating systems, including CPU scheduling and memory management.Preferred qualifications:Master's degree or PhD in Computer Science or related technical fields.3 years of experience working in a complex, matrixed organization.Experience with Linux Kernel Programming and kernel internals (e.g., scheduler, memory management, virtualization/KVM, BPF tracing, PMU).Experience with modern systems programming languages, particularly C++ or Rust.Track record of executing complex technical migrations (e.g., legacy systems to modern architectures/languages).Knowledge of CPU architectures (x86_64, arm64) and memory models.Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.The Linux Kernel team optimizes massive-scale compute and storage infrastructure. We develop foundational software powering public Google Cloud and internal infrastructure. You will implement features and enhance the Linux Kernel in areas like low-overhead virtualization, memory capacity, memory tiering, advanced CPU scheduling, and security.As a Software Engineering Manager for Kernel Development, you will lead a team of systems software engineers. You will drive technical architecture and execution roadmaps for core subsystems like memory management, CPU scheduling, BPF, and file systems. Additionally, you will advocate fleet efficiency, security milestones, and development stack modernization.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree, or equivalent practical experience.8 years of experience in software development.3 years of experience in a technical leadership role.Experience in people management (guiding technical teams, resource allocation, and mentoring).Experience in computer architecture and low-level system software development in C.Experience with operating systems, including CPU scheduling and memory management.

Lead the technical design, development, and optimization of software components critical for Large Language Model (LLM) inference serving on GDC. This includes areas such as model life-cycle management, efficient data loading, dynamic request routing, and intelligent load balancing.Drive horizontal integration across core platform services, including billing, logging, observability, security, and quota management.Implement and enhance serving capabilities to support advanced LLM techniques like disaggregated serving, speculative decoding, quantization, and efficient model sharding across distributed hardware.Collaborate closely with internal teams developing core LLM frameworks, container orchestration (Kubernetes, Google Kubernetes Engine (GKE)), networking infrastructure, and hardware acceleration to build a cohesive and high-performance serving platform.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.Experience programming in Go for software development, including AI/ML applications.Preferred qualifications:Master's degree or PhD in Computer Science or related technical field.5 years of experience with data structures and algorithms.1 year of experience in a technical leadership role.Experience with container orchestration (e.g., Kubernetes) and cloud-based AI platforms.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.Join our pioneering team dedicated to democratizing access to Google's AI solutions by integrating and developing them deeply within the Google Distributed Cloud (GDC) Platform. We are passionate about enabling customers to harness the power of AI, no matter their environment. Our work spans the full range of GDC offerings:If you are excited about shaping the future of AI on the edge and in hybrid clouds, and addressing unique challenges across various deployment models, we want to hear from you!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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.Experience programming in Go for software development, including AI/ML applications.

Own the technical strategy and architecture for AI-ready data foundations, including high-throughput processing pipelines, unified storage, and enterprise semantic models.Architect horizontal search and summarization agents, alongside modular frameworks and personalization capabilities that allow teams to safely onboard business logic.Drive systemic latency optimizations across the agent execution stack to meet strict end-to-end P50 goals for real-time queries.Design automated evaluation frameworks to improve agent accuracy. Establish data governance, security, and compliance primitives to power real-time analytics.Lead the Data and AI engineering track. Guide designs, mentor developers, and collaborate cross-functionally to integrate identity management and access controls.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience programming in Java and Python.5 years of experience with design and architecture; and testing/launching software products.Experience architecting, designing, and developing large-scale distributed systems.Experience designing or deploying distributed data processing systems (e.g., BigQuery, Cassandra, PostgreSQL).Experience designing, developing, and deploying generative AI agents or large language model (LLM) applications.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.5 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.Experience with semantic data modeling and integrating generative AI agents with external APIs, databases, or enterprise systems.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.Google Cloud Business Platform (GCBP) drives 10X scale for Google Cloud by accelerating growth, improving reliability via a Unified Data Layer, and increasing efficiency. Within GCBP, the Cloud Data Analytics and Intelligence (CDANI) team powers the GCP Enterprise's agentic transformation by unifying data, access, and GenAI layers into secure, daily-habit interactions.In this role, you will bridge Google Cloud's core data ecosystem and agentic applications. You will drive the technical strategy, architecture, and implementation of foundational GenAI capabilities across the GCP Enterprise enabling the rapid deployment of secure, high-performance, and personalized AI agents and digital coworkers.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $364000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience programming in Java and Python.5 years of experience with design and architecture; and testing/launching software products.Experience architecting, designing, and developing large-scale distributed systems.Experience designing or deploying distributed data processing systems (e.g., BigQuery, Cassandra, PostgreSQL).Experience designing, developing, and deploying generative AI agents or large language model (LLM) applications.

Collaborate with cross-functional leaders and external vendors/partners to track qualification status and report progress to organization leaders.Act as a "go-to" technical leader with in-depth knowledge of the test methodologies, technologies, equipment and the hardware being deployed.Maintain and improve qualification processes while supporting career development and growth of individual team members and making hiring and talent choices.Conduct signal integrity focused testing of all data center products.Ensure high-speed interfaces and all other elements on our boards and systems meet specifications and requirements.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.6 years of experience working in a data center systems architecture, design, hardware bring-up and validation technical environment.3 years of experience in technical leadership.Preferred qualifications:Master’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.12 years of experience in data center systems architecture, design, hardware bring-up, and validation environments.Experience in signal integrity concepts and high-precision test equipment for measurements and bit error rates.Experience managing test teams, overseeing lab work, data collection, root-cause analysis, and improving qualification processes.Understanding of testing and hardware validation requirements, best practices, and algorithms for data center hardware.Knowledge of networking equipment, including network interface cards (NICs), switches, and cabling, as well as interfaces such as PCIe and Ethernet.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.As a Hardware Validation Manager in Google's design and test team, you will lead a team that qualifies a wide variety of networking hardware used in Google's data centers, including network interface cards (NICs), switches, cables, and other networking hardware, ensuring they meet Google's stringent requirements for performance, security, reliability, and features.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.6 years of experience working in a data center systems architecture, design, hardware bring-up and validation technical environment.3 years of experience in technical leadership.

Plan the formal verification strategy, create the properties and constraints for the digital design blocks.Utilize formal property verification tools combined with formal verification closure techniques to verify properties.Resolve difficult to verify properties.Contribute improvements to methodologies to enhance formal verification results.Architect and implement reusable formal verification components.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.4 years of experience with formal and design verification.Experience with SystemVerilog or Verilog.Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science.6 years of experience with industry standard tools, languages and methodologies relevant to the development of silicon-based Integrated Circuits (ICs) and chips.Experience with scripting languages. Excellent communication and collaboration skills.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an ASIC Formal Verification Engineer, you will contribute formal verification expertise to verify the digital designs, with a specific focus on TPU architecture and its integration within AI/ML- driven systems. You will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, formal verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.4 years of experience with formal and design verification.Experience with SystemVerilog or Verilog.Experience working with one or more formal verification tools (e.g., Jasper, VC Formal, Questa Formal, 360-DV).

Lead the development and architectural definition of silicon test requirements, driving strategic alignment across design teams, DFT engineers, and external vendors.Define and direct broad strategies for SoC product NPI, bring-up, verification, characterization, and qualification, resolving complex issues across bench testing, test-coverage optimization, and system-to-ATE correlation.Act as a domain expert in ATE testing, leveraging deep industry experience to establish technical standards, architect scalable test solutions, and mentor engineering teams to drive systemic quality improvements.Influence and partner strategically with design, DFT, and quality teams to shape next-generation chip architectures, ensuring proactive "design-for-testability" and establishing industry-leading best practices for post-silicon testing.Oversee and optimize the chip production life-cycle, driving continuous improvement initiatives for test program architecture, advanced volume data analytics, test time reduction, yield optimization, and complex Return Merchandise Authorization (RMA) failure analysis.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.10 years of experience in test engineering, product engineering or silicon quality/reliability.Experience in ASIC or SoC test development, bring-up or debug.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.Experience with scan/ATPG test development or memory BIST test development and repair implementation.Experience testing IPs such as Phase-Locked Loops (PLLs), PVT sensors, temperature sensors, Process Monitor Ring Oscillator (PMRO), and eFuse.Experience with ATE probe card design and load board design.Experience with UCIE, HBM, PCIE, DDR.Extensive experience with Automatic Test Equipment (ATE) from Advantest and Teradyne (e.g., EXA scale, UltraFlex+).In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. Google’s data centers are some of the most advanced in the world. In this role, you will serve as a technical leader to build the SoCs that power these data centers by defining the strategy and architecture for comprehensive Automatic Test Equipment (ATE) test solutions in high-volume manufacturing. You will own the end-to-end silicon test life-cycle, establishing methodologies that close the loop between field performance, design, and testing for future generations of chips. You will lead cross-functional initiatives to integrate advanced SoC technologies into devices and architect robust ATE manufacturing tests that ensure optimal performance and yield. As a Staff Engineer, you will set the technical direction for test coverage and quality standards across the organization.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 behind Google's groundbreaking innovations, empowering the development of 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $278000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.10 years of experience in test engineering, product engineering or silicon quality/reliability.Experience in ASIC or SoC test development, bring-up or debug.

Own the bringup and New Product Introduction (NPI) phases of the silicon development lifecycle. Enable custom silicon products within the platform infrastructure systems.Integrate and validate complex hardware/software designs in pre-silicon through functional bringup. Develop the integration plan, coordinate hardware and software delivery, and create necessary tests for validation.Develop detailed test plans, based on design specifications and coordinate with a cross-functional teams (e.g., architecture, design, software, firmware).Perform long-term system characterization. Debug and help root-cause failures, providing feedback to improve features like power management quality, performance, and reliability through generations of designs, including in pre-silicon prototyping platforms as well as through post-silicon bringup and production.Design, develop, operate, and maintain software based validation tests.Minimum qualifications:Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.3 years of experience with silicon design or with semiconductors (e.g., digital design, silicon validation, computer architecture).Experience scripting in a programming language like Python or equivalent.Preferred qualifications:Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.Experience developing firmware, embedded software, or functional tests for silicon validation.Experience in silicon validation bringing up, characterizing, and qualifying silicon.Experience with high speed interfaces, ASIC interfaces, memory systems (HBM), aor power system features and high-power ASICs.In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.In this role, you will be helping in bringing custom Application-Specific Integrated Circuits (ASICs) from concept through to production. You will be a part of the silicon validation effort of the overall silicon product development lifecycle. Your efforts may center on power features, interfaces, HBM memory, compute functionality, or various aspects of system performance.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.3 years of experience with silicon design or with semiconductors (e.g., digital design, silicon validation, computer architecture).Experience scripting in a programming language like Python or equivalent.

Write and test 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.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages (e.g., Go, Java).3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 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 field.5 years of experience with data structures and algorithms.1 year of experience in a technical leadership role.Experience developing accessible technologies.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. Cloud SQL offers fully managed database services (MySQL, PostgreSQL, and SQL Server) with superb reliability and performance, serving as one of the fastest-growing services in Google Cloud. As large enterprises accelerate their migration to the cloud, the Data Migration and Integration (DMI) team is responsible for building the high-performance platform that powers this transition. Our mission is to deliver frictionless, low-downtime migrations while seamlessly integrating Cloud SQL into the broader Google Cloud data ecosystem.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages (e.g., Go, Java).3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

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.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.Experience developing accessible technologies.Proficiency in code and system health, diagnosis and resolution, and software test engineering. 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. 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.Application Instructions: In most instances, this position requires in-person interviews as part of the hiring process.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.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.

Provide technical leadership on high-impact projects.Influence and coach a distributed team of engineers.Facilitate alignment and clarity across teams on goals, outcomes, and timelines.Manage project priorities, deadlines, and deliverables.Design, develop, test, deploy, maintain, and enhance large scale software solutions.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products.5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.3 years of experience with software design and architecture.Experience integrating generative AI tools or LLM interfaces into workflows.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures and algorithms.3 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.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.The Forecasting and Projections team enables Google Cloud's Go-To-Market (GTM) organization to forecast bookings and business. Our tools are used monthly by thousands of sellers and leaders to drive bottom-line estimates and critical business decisions. We are building a unified, scalable platform that provides users with a holistic view of their book of business—from high-level summaries down to granular workload details—with minimal latency.As a full-stack team, we own the end-to-end forecasting space, utilizing TypeScript, Angular, Java, Spanner, and Machine Learning. You will guide system design, architecture, and engineering excellence. You will mentor senior engineers, collaborate closely with product and business stakeholders, and apply a product-oriented mindset to deliver scalable, high-impact solutions.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products.5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.3 years of experience with software design and architecture.Experience integrating generative AI tools or LLM interfaces into workflows.

Write and test product or system development code.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.Collaborate with cross-functional teams across the entire Google Infrastructure software stack from hardware to Application, to define, implement, validate, and deploy the improvements.Work with storage developers.Implement and deliver functionality critical to offloaded Persistent Disk while emphasizing software engineering principles to ensure a system capable of scaling to the needs of the business.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages (e.g., C++).3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Experience with test automation development.Preferred qualifications:Master's degree or PhD in Computer Science, or a related technical field.5 years of experience with data structures and algorithms.1 year of experience in a technical leadership role.Experience with Solid State Drives (SSDs) and storage protocols.Experience with hardware accelerators.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.The Persistent Disk team provides the mission-critical block storage foundation for Google Cloud, managing exabytes of data for millions of users and tens of thousands of enterprises. As part of the Virtualization and Offloads team, you will build high-performance storage clients that run in both virtualized and bare-metal environments, ensuring every Google Compute Engine Virtual Machine (VM) has the reliable, high-speed storage it needs to grow.In this role, you will design and implement the next generation of storage Input/Output (IO) paths, moving critical processing from software to hardware accelerators like smart Network Interface Cards (NICs). Working at the boundary of hardware and software, you will develop control and data planes where microseconds count, solving complex distributed systems issues to deliver performance comparable to locally attached disks.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages (e.g., C++).3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.Experience with test automation development.

Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.Minimum qualifications:Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:Master's degree or PhD in Computer Science or related technical fields.2 years of experience with data structures or algorithms.Experience developing accessible technologies.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.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; San Jose, CA, USA.Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Design, develop, test, deploy, maintain and improve switch software.Manage individual project priorities, deadlines and deliverables.Manage scalability and performance tuning of large-scale networks.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.Minimum qualifications:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.Experience with networking (L2/L3/ACLprotocol layers) and SDN.Preferred qualifications:Master's degree or PhD in Computer Science, or a related technical field.5 years of experience with data structures and algorithms.Experience developing accessible technologies.Knowledge of Linux user space development and multi-threading development.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.Join a high-performing, talented team responsible for the network operating system powering Google's data center infrastructure. Contribute to projects enabling AI networking and high-performance fabrics for TPU and GPU workloads.Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.Experience with networking (L2/L3/ACLprotocol layers) and SDN.

Write and test 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.Minimum qualifications:Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++, C, or Python.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience 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 field. 5 years of experience with data structures/algorithms.1 year of experience in a technical leadership role. Experience developing accessible technologies. 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. 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.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in C++, C, or Python.3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Own the end-to-end architecture, technical roadmap, and core goal for agent memory systems, dynamic context synthesis pipelines, graph-based cloud representations, and hybrid search/RAG platforms.Lead the design and implementation of low-latency context caching, token compression/pruning strategies, working memory buffers, and long-term episodic knowledge stores for autonomous agents.Architect high-throughput, low-latency distributed systems and automated benchmarking frameworks to ensure sub-second cloud state aggregation, high retrieval recall, and hallucination mitigation.Ensure all context and memory subsystems meet stringent enterprise-grade multi-tenancy standards, tenant data isolation policies, compliance mandates, and fine-grained access controls.Partner across research (e.g., DeepMind) and platform service teams to standardize shared context models and APIs, while mentoring engineers and upholding architectural review standards.Minimum qualifications:Bachelor's degree in Computer Science, AI/ML, Data Systems, Information Retrieval, a related technical field, or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).2 years of experience building infrastructure on cloud platforms.Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience building low-latency, high-availability distributed storage systems and APIs on major cloud platforms.Expertise in agent memory (working/episodic), context caching, token pruning, vector search, and knowledge graphs.Ability to define technical roadmaps, author comprehensive design docs, and align multi-organization stakeholders. Demonstrated skill in coaching engineers and clearly communicating complex architectures to leadership and research partners.Track record in hybrid search, graph databases, and querying complex cloud telemetry and topology.Background in engineering secure, multi-tenant cloud architectures with strict data isolation and compliance controls.Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. AutoCloud is Google Cloud’s autonomous, AI-powered cloud management portfolio. We are transforming how enterprise customers design, deploy, operate, investigate, and optimize their workloads and infrastructure across Google Cloud Platform (GCP). In this role, you will be the principal technical authority guiding the design of scalable memory architectures, solving complex state retrieval issues, and partnering with Principal Engineers, researchers across DeepMind, and partner teams across Google Cloud to deliver a high-precision, low-latency, and secure context platform for autonomous operations.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor's degree in Computer Science, AI/ML, Data Systems, Information Retrieval, a related technical field, or equivalent practical experience.8 years of experience in software development.5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).2 years of experience building infrastructure on cloud platforms.

Design, develop, test, deploy, maintain, and enhance large scale software solutions.Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of state-of-the-art GenAI solutions.Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience in software development.7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience with design and architecture; and testing/launching software products.2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).Preferred qualifications:Master’s degree or PhD in Engineering, Computer Science, or a related technical field.8 years of experience with data structures/algorithms.5 years of experience in a technical leadership role leading project teams and setting technical direction.3 years of experience working in an organization involving cross-functional, or cross-business projects.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.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.Bachelor’s degree or equivalent practical experience.8 years of experience in software development.7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).5 years of experience with design and architecture; and testing/launching software products.2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).