Google’s full form is Global Organisation of Oriented Group Language of Earth. It was founded in 1998 by Larry Page and Sergey Brin, two Stanford University students. “To organise the world’s information and make it widely accessible and valuable,” the organisation’s mission states.
Senior Software Engineer, AI/ML GenAI, Google Cloud AI
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 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 state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 3 years 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 field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
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.
The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Write and test 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.
- Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.
Semiconductor Supply Chain Management Lead, Display Technology
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
- 6 years of experience in semiconductor supply chain management, including sourcing, procurement, contract negotiation, supplier quality management, and risk management.
- 3 years of experience building and leading teams.
Preferred qualifications:
- Master’s degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
- Experience working in a semiconductor fabrication (fab) environment.
- Experience sourcing specialized materials used in microLED fabrication.
- Experience in direct and indirect sourcing for wafer production.
- Experience with compound semiconductor supply chains.
- Familiarity with microLED display technology.
About the job
Raxium is on the microLED technology, bringing the world’s first monolithically-integrated, micron-scale and RGB emitter solution to enable a new category of differentiated display products, ranging from ultra-resourceful Augmented Reality (AR) micro-displays to direct-view light-field displays with natural 3D functionality.
Google’s Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.
The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Cultivate and manage strategic partnerships with suppliers of critical materials and components, ensuring a robust and agile supply chain.
- Serve as the central point of contact between suppliers and internal teams, fostering seamless collaboration and communication to drive continuous improvement and innovation.
- Identify and mitigate potential supply chain risks to ensure business continuity.
- Optimize inventory management strategies to ensure the availability of critical materials while minimizing costs and waste.
- Lead commercial agreement negotiations, securing favorable terms and conditions for the procurement of materials, spares, and capital equipment.
Finance Optimization Analyst
Minimum qualifications:
- Bachelor’s degree in Business, Accounting, Finance, or equivalent practical experience.
- 4 years of experience in Financial Planning and Analysis (FP&A), Accounting, or Finance transformation.
- Experience writing SQL scripts and navigating datasets and pipelines.
- Experience with financial data systems architecture and controls, including working with financial statements and journal entries.
- Experience collaborating with cross-functional teams, and influencing executive leaders.
Preferred qualifications:
- Certified Public Accountant (CPA)/Chartered Accountant (CA).
- Experience with Sarbanes-Oxley (SOX) compliance and audits.
- Data analysis skills, with experience applying statistical methods, SQL, dashboard design.
- Understanding of ERP systems (such as Oracle, SAP, S4 Hana) standard Source-to-Pay, Order-to-Cash, Financials and Payroll business processes.
- Understanding of GAAP accounting principles (predominantly revenue recognition).
About the job
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it’s modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.
This role is a unique opportunity to equip Googlers from across the Cloud organization with the systems to perform their jobs and drive business goals. The Finance Optimization Senior Analyst will be responsible for continuously evaluating new and existing financial data systems and reporting solutions.
The name Google came from “googol,” a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
The US base salary range for this full-time position is $105,000-$154,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead discovery and design efforts to further enhance Financial data systems or processes. Leverage Finance and Accounting expertise to translate Systems feedback from end users into actionable and prioritized requirements for Engineering.
- Execute robust change management, including moderating operating committee forums to keep senior and cross-functional systems decision-makers highly informed of roadmaps and project status(es), development and testing outcomes, and production support issues.
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Assess financial data systems as a part of a broader ecosystem within Google Cloud, producing high-quality documentation and process flows, identifying opportunities for new features, process automation, and risk-mitigating controls. Build exceptional comprehension of Financial data systems.
- Partner with a diverse set of stakeholders to get things done, from Finance and Accounting to Business Operations and Engineering.
Data Analytics Sales Specialist III, Google Cloud
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software or cloud space.
- Experience selling data analytics or data management technologies to clients.
Preferred qualifications:
- Experience carrying and exceeding business goals in a sales role.
- Experience supporting executive relationships, and developing new accounts, while ensuring customer success, adoption and expansion.
- Experience working with internal or external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Experience prioritizing and planning sales activity and transformation strategies within complex business cycles aligned to data and analytics.
- Experience with data analytics technology stack.
- Knowledge of trends, products, and solutions in cloud, data analytics (e.g., big query, looker, dataproc, publish or subscribe),
About the job
As a Data analytics sales specialist, you will help to grow our data analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will plan day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will plan go-to-market strategies and manage campaigns, and provide feedback to product and global solutions teams to inform our product solutions roadmap. You will shape customers cloud and data analytics strategy and enable digital transformation.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 $129,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and manage complex business cycles, identifying solution use cases, and influencing long-term omit direction of accounts.
- Deliver against quota and achieve or exceed business and goals while forecasting and reporting.
- Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop analytics solution roadmaps, understanding their requirements on a business and technical level.
- Work with multiple customers understanding consumer technology and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.
