Staff Software Engineer, Generative AI, Data Analytics

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. + 3 years of experience with software design and architecture. + Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline (C++, Python, Data Analytics, and Google coLaboratory Notebook). Preferred qualifications: + Master's degree or PhD in Engineering, Computer Science, or a related technical field. + 8 years of experience with data structures/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. + Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models) C++, Python, Data Analytics, and Google coLaboratory Notebook. + Experience with Large Language Model, Generative AI, Generative AI Agent, Multimodal Machine Learning. 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. In this role, you will work closely with our team of experts to research, explore and develop innovative solutions that will bring generative AI to the forefront of GCP Data Analytics for our customers. You will specifically be working on natural language to Python code generation using LLM for data analytics and conversational analytics use cases. 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 $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google ( . + Provide technical leadership on high-impact projects. + Design and develop next-generation software systems for data analytics. + Work closely with Team Leads to define and develop new solutions using LLMs. + Prototype and research for solutions in projects with a high-level of uncertainty. + Participate in discussion with Product Managers and customers to understand requirements and map those to technical requirements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: