Customer Engineer, Ai Infrastructure, Google Cloud

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.
**Minimum qualifications**:

- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 10 years of experience with cloud infrastructure.
- 5 years of experience in a technical role focused on AI infrastructure or related areas.
- Experience building and operationalizing machine learning models.
- Experience with GPU programming (CUDA, OpenCL) and optimization techniques.

**Preferred qualifications**:

- Experience with high-performance computing (HPC) environments and contributions to open-source projects related to AI or infrastructure.
- Experience training and fine-tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
- Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
- Experience designing/architecting large-scale infrastructure farms for specialist AI use cases.
- Experience with running MLPerf benchmarks, distributed training and optimizing performance versus costs.
- Excellent communication and presentation skills.

About the job
In this role, you will be helping our customers, developers, small and large businesses, educational institutions and government agencies, see the benefits of our technology come to life. You will be understanding the needs of our customers and helping shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
You will be the technical expert and trusted advisor for our customers, helping them design, deploy, and optimize AI solutions using cutting-edge hardware and software. Your focus will be on Graphics Processing Units (GPUs), accelerators (including Field-programmable Gate Array (FPGA) and Application-Specific Integrated Circuit (ASIC)), and Google Tensor Processing Units (TPUs). You will work closely with sales, product management, and engineering to ensure our customers achieve maximum value from their AI investments. You will be responsible for scaling and helping accelerate GCP AI Infrastructure business growth.
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**:

- Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and bench-marking.
- Build repeatable assets to enable other customers and internal teams.
- Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Lead business and Workload acceleration on AI Infrastructure products and solutions for GCP.

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 alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.