Principal Staff Software Engineer, AI and Data Infrastructure

Google Inc.; London; On-site; GBP 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Principal Staff Software Engineer to lead AI and Data Infrastructure projects. In this pivotal role, you will leverage your extensive experience in software development and machine learning to drive innovative solutions that impact millions of users globally. You will collaborate with cross-functional teams to enhance cutting-edge technologies, ensuring seamless integration and rapid iteration. This position offers a unique opportunity to shape the future of AI and cloud computing while working in a dynamic and inclusive environment. If you are passionate about technology and eager to tackle complex challenges, this role is perfect for you.

Qualifications

• 8+ years of software development experience with a focus on Python and data structures.
• Experience in leading technical project strategy and optimizing ML infrastructure.

Responsibilities

• Collaborate with teams to improve Gemini models based on customer feedback.
• Drive technical project strategy and oversee ML infrastructure optimization.

Skills

Python

Machine Learning

Technical Leadership

Data Structures

Algorithms

Speech Recognition

Generative AI

Education

Bachelor’s degree in Computer Science

Master’s degree or PhD in Engineering

Tools

ML Infrastructure

Cloud Technologies

Job description

Principal Staff Software Engineer, AI and Data Infrastructure

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corporate_fare Google place London, UK

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Apply

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• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms in Python.
• 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making) or ML infrastructure, or related ML field.
• 5 years of experience with design and architecture; and testing/launching software products.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• Knowledge of Generative AI (GenAI) model development fine-tuning and model adaptation.
• Knowledge of ML systems and infrastructure for production with customers and engineers.
• Ability to develop a use-case specific definition for the data and pragmatically balance trade offs for research, privacy, and product usage.

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 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.

Responsibilities

• Collaborate with Google Cloud and Google DeepMind teams to ensure the Gemini models are improved rapidly based on customer feedback.
• Work across teams and organizations to navigate technical ambiguity and bring clarity to the engineering work. This requires active scoping and driving progress with detailed attention to technical details while aligning it with a big picture strategy.
• Balance architectural and design responsibilities with active participation in coding to provide technical leadership and accelerate development cycles, ensuring seamless integration and rapid iteration across teams.
• Develop and implement systems-based solutions to problems, balancing planning with rapid iteration to achieve timely results.
• Drive technical project strategy, lead Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

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. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.