Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Sunnyvale, CA, USA.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, fine tuning).
• 5 years of experience with design and architecture; and testing/launching software products.
• 5 years of experience with GenAI techniques (e.g., LLMs, Multimodal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

PREFERRED QUALIFICATIONS:

• Master’s degree or PhD in Engineering, Computer Science, a technical related field, or equivalent practical experience.
• 5 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 contributing to or building developer tools, frameworks, or infrastructure.
• Familiarity with Vertex AI, or other ML platforms.

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.
Our Gen AI Infrastructure team is part of Google’s Core Machine Learning (ML) organization and is at the forefront of defining and building Google’s future in AI-assisted software development. We are building the platform to integrate GenAI-based technologies into Google’s suite of consumer-facing products. Our mission is to empower developers and researchers with GenAI enablement tools, driving innovation and unlocking the potential of ML across applications.
In this role, you will shape the future of applying ML and push the boundaries of what’s possible with Gen AI at Google!
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise 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.

• Build a high-performing GenAI platform for first-party developers to apply ML (multi-agent systems, prompt engineering, model optimization, etc) into emerging and existing consumer products.
• Update ML API features to support the new capabilities of Gemini, Imagen, Veo, and other LLMs.
• Collaborate with stakeholders (e.g., Google Deepmind, Google Labs, Search, Vertex, etc) to ensure we deliver a highly available, performant, and secure platform that scales globally.
• Drive the technical strategy in an ambiguous and rapidly evolving domain, making high-impact decisions that will shape how developers build, debug, and deploy Gen AI applications.
  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