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About the Role
The GenAI Data and Evaluation Platform team provides the infrastructure and support to accelerate data and evaluation efforts across the Gemini program. In this role, you will coordinate across groups to bring serving impact to GDM Data and Eval efforts. Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users, ensuring safety and ethics are always the highest priority.
Responsibilities
- Lead the architectural design of high-throughput serving infrastructure for evaluation workflows.
- Design scalable systems to store, process, and serve massive datasets for model evaluation.
- Optimize the latency and resource efficiency of large-scale inference and evaluation pipelines.
- Collaborate with research teams to define infrastructure requirements for next-generation AI models.
- Establish technical roadmaps for data serving platforms supporting DeepMind's evaluation ecosystem.
Requirements
- Experience designing, building, and operating large-scale distributed systems, focusing on scalability, fault tolerance, and reliability.
- Experience in Machine Learning or AI infrastructure.
- Experience in software performance analysis and improvement, and High-Performance computer architectures (e.g., CPU, memory subsystem, multiprocessing).
- Experience designing software architecture for applications, including AI/ML systems.
- Experience with site reliability engineering, system architecture, and distributed systems.
- Experience building developer tools to improve development velocity, code quality, or code health (e.g., CI/CD, compilers, test automation frameworks).
- 8 years of experience with data structures/algorithms, with strong proficiency in C++ or Python.
- Experience developing and optimizing ML or production serving infrastructure.
- Experience leading complex architectural migrations or cross-team infrastructure projects.
- Excellent problem-solving skills and ability to collaborate widely across organizations.
- Knowledge of VMs and sandboxed execution environments (e.g., Xbox, Capsules).
- Understanding of the latest evaluation research and areas important to LLM research.
Skills
- Scalability
- Fault tolerance
- Reliability
- Machine Learning
- AI infrastructure
- Software performance analysis
- High-Performance computer architectures
- Software architecture design
- Site reliability engineering
- System architecture
- Distributed systems
- Developer tools
- CI/CD
- Compilers
- Test automation frameworks
- Data structures
- Algorithms
- C++
- Python
- ML serving infrastructure
- Production serving infrastructure
- Architectural migrations
- Problem-solving
- Collaboration
- Virtual Machines (VMs)
- Sandboxed execution environments
- Large-scale inference
- Evaluation pipelines
- Data serving platforms
Experience Level
- 8 years of experience
Education Level
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Salary/Compensations
- US: $207000 - $300000 (USD) + 20% bonus target + equity
Benefits
- Benefits at Google
About the Company
- 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 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.
- 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.
- At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
- We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
- We are pushing the boundaries across multiple domains.
- Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.