Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- Experience in Cloud computing, distributed computing, and high performance computing.
- Experience with C/C++, Java, Go, or Python programming languages, and with Unix/Linux systems.
- Experience within Cloud infrastructure, machine learning infrastructure, with compute, networking, and storage.
Preferred qualifications:
- Experience with a cloud provider, or other data center management stack.
- Experience as a software engineer, with knowledge of two or more of the following areas: APIs and services, front-end development, distributed systems, tools, testing infrastructure, and monitoring infrastructure.
- Knowledge of Kubernetes, with a focus on AI inference workloads.
- Interest in technical infrastructure projects that support distributed production systems.
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 team's mission is to make the Google Cloud Platform (GCP) the best platform for AI and ML workloads. The team provides infrastructure and tools to design and set up AI/ML workloads. In this role, you will solve challenges and define solutions for GCP in shaping the future of AI and ML workload performance/experience.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Develop and innovate on GPU/TPU ML infrastructure to support ML workloads for key customers.
- Lead and execute technical projects, ensuring high-quality deliverables and engage directly with industry partners to uncover requirements and iterate on technology and designs, maintaining long-term strategic alignment.
- Collaborate with peers, cross-functional engineering teams, and stakeholders to deliver high-quality solutions and drive alignment on technology and plans.
- Assume full ownership of individual projects throughout the development life-cycle and provide leadership on collaborative projects.
- Maintain communication with stakeholders through written and verbal updates, including technical design documentation and reviews.
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 .
