About this opportunity
Google lists this Staff Software Engineer, Applied AI Engineering opportunity in montana, Wisconsin. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Staff Software Engineer, Applied AI Engineering
Location: Sunnyvale, CA, USA
Experience Level: Advanced
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, 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 GenAI‑related concepts (language modeling, computer vision).
Preferred Qualifications
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
Experience building advanced GenAI (multi-step LLM, multi-agent systems, or model context protocol (MCP) integrated with orchestration frameworks).
Working knowledge of leveraging AI/ML, automation, and advanced technologies to optimize workflows and enhance efficiency.
Demonstrated ability to lead and deliver on complex, ambiguous projects. Excellent problem-solving, investigative, and technical leadership 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.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google AI Science on Cloud (a collaboration across DeepMind, Research, and Cloud) accelerates scientific breakthroughs, establishing Google as the premier platform for complex industry problems.
As a Staff Software Engineer in the Research and Incubation team, you will be a principal architect bridging AI research and enterprise production. You will define technical roadmaps, establish architectural standards, and engineer zero-to-one AI platforms. By managing multi‑agent orchestration, reasoning pipelines, and multimodal models, you will translate theoretical Machine Learning (ML) breakthroughs into highly optimized, scalable services, acting as the key technical bridge between DeepMind, Research, Product Management (PM), and enterprise partners.
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 Salary: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
Architect secure, highly cost-effective distributed systems and MLOps pipelines on Google Cloud Platform (GCP) for fine‑tuning and serving frontier models.
Translate AI/ML research into production‑grade services, optimizing model inference latency, throughput, and large‑scale TPU/GPU fleet utilization.
Design robust, self‑improving multi‑agent architectures and cognitive planning engines capable of executing complex, guardrailed workflows.
Shape Google Cloud's AI roadmap by feeding operational insights and technical gaps from incubation projects directly back to core engineering.
Mentor executive engineers across teams, driving a culture of rapid prototyping, rigorous system design, and technical excellence.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. based on an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.