About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience designing, building, and operating large-scale distributed systems, with a focus 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 archiecture, and distributed systems
- Experience building developer tools to improve development velocity, code quality, or code health (e.g., CI/CD, compilers, test automation frameworks)
More about this role
- 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.
- Experience designing, building, and operating large-scale distributed systems, with a focus 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 archiecture, and distributed systems.
- Experience building developer tools to improve development velocity, code quality, or code health (e.g., CI/CD, compilers, test automation frameworks).
- Master’s...
Browse similar: AI jobs · AI startup jobs · Startup jobs