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Software Engineer, Machine Learning Infrastructure, Cloud Platform
9 hours ago
Minimum qualifications:
- Bachelor's degree in Computer Science or a related engineering field, or equivalent practical experience.
- 2 years of experience with programming in Python, C++, Java, or 1 year of experience with an advanced degree in an industry setting.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
- 1 year of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience in working with multiple enterprise and cloud technology systems, designing solutions, or developing business applications.
- Experience in one of the Large Language Model (LLM) frameworks (e.g., NeMo Megatron, MaxText, etc.).
- Experience with Kubernetes or Slurm.
About the jobGoogle'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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Create and deliver production solutions, best practice recommendations, tutorials, blog posts, and sample code for internal and external use.
- Work with early adopter customers. Provide customer and market feedback to product and engineering teams to help define product direction.
- Develop and deliver advanced enablement internally and externally.
- Work as part of an organization to contribute technical assets, prioritize and shape solution direction, while impacting business and bookings.
