Google welcomes people with disabilities.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 6 years of IT industry experience creating infrastructure environments for AI workloads.
- Experience working and architecting a GPU, TPU, or HPC clusters.
- Experience with orchestration tools (e.g., Slurm) and a distributed file systems (e.g., Lustre used for AI workloads).
- Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.).
- Ability to communicate in Japanese fluently to communicate with local customers.
Preferred qualifications:
- Knowledge of Kubernetes, Containers, and Cloud Native ecosystem.
- Ability to communicate in English fluently to collaborate with internal stakeholders.
About the Job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in AI infrastructure and High Performance Computing (HPC) to differentiate Google Cloud to our customers.
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
- Work with the team to identify and qualify business opportunities, understand key customer technical objections and develop the strategy to resolve technical blockers.
- Share AI infrastructure expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work directly with Google Cloud product teams to demonstrate and prototype integrations in customer and partner environments.
- Recommend integration strategies, platforms, and application infrastructure to implement a complete solution on Google Cloud.