Senior Software Engineer, Fleet Optimization at Google

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.Experience working on Front-end Development, Software Architecture, Back-end and Full-Stack Development.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.Experience with Angular, Java, TypeScript and SQL.Experience in one or more of the following: Operations Research, Mathematical Optimization, or Supply Chain concepts.Ability to structure and solve ambiguous problems, with excellent project management and organizational skills. 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 Machine Learning, Systems, and Cloud Artificial Intelligence team, designs optimization models using linear programming and implements software to provide optimal options for demand fulfillment. In this role, you will manage project priorities, deadlines, and deliverables, and will design, develop, test, deploy, maintain, and enhance software 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.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 Design and implement optimization strategies to handle emerging business requirements, supporting customer reliability and supply chain resilience in the fleet.Drive technical ideas to architect the solutions to be reusable across multiple product types, product areas and classes of features.Collaborate with business team to identify key opportunities to renovate the deployed fleet, identify supply chain planning inefficiencies, and propose innovative solutions.Promote standardization of modeling tools and pipeline execution infrastructure.Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).