Senior Staff Software Engineer, Agent Protocol, Cloud AI

Senior Staff Software Engineer, Agent Protocol, Cloud AI 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Qualifications Bachelor’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience. 8 years of experience in software development with Python, Java or C++. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in ML driven workflows, AI based assistants, intelligent agents, agentic frameworks. 3 years of experience with software design and architecture. Experience conducting applied research to improve the quality and production agents. Preferred Qualifications Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 5 years of experience in platform development in major SaaS vendors. 5 years of experience working with Large Language Models (LLMs). 3 years of experience in a technical leadership role, guiding project teams and technical direction while applying and productionizing large visual, language, and multimodal research. 3 years of experience fine-tuning large models (e.g., supervised, RLHF). Understanding of data model, API layer, UI and application development environments of at least one of the major SaaS providers. About The Job 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 AI and Infrastructure team works on the world’s toughest problems, redefining what’s possible. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. We’re at the center of amazing work at Google by being the “flywheel” that enables our advanced AI models, delivering computing power across global services, and offering platforms that developers use to build services. We shape the future of hyperscale computing the future technology, and drive global impact by contributing to Google infrastructure from software to hardware (including building Vertex AI). 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 $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Drive the design and implementation of multimodal agentic experiences, creating systems that can understand and interact with the world through various modalities. Define the technical goal and long-term strategy for multi-agent orchestration across disparate data, api and agentic platforms, driving adoption of Gemini, Google Agent Cloud platform. Design and implement highly scalable evaluations infrastructure and processes to support onboarding and usage of multimodal agentic systems across platforms. Provide AI expertise to guide the technical relationship with Google’s customers and partners, helping them build large-scale model evaluation for workflows, business applications and agentic solutions on Google Cloud Platform. Equal Employment Opportunity 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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google