Deskripsi Pekerjaan
Are you passionate about the future of Artificial Intelligence? Google Cloud is seeking a Senior Customer Engineer to join our specialist team, focusing on our cutting-edge Tensor Processing Unit (TPU) hardware. This is a unique opportunity to advance your AI expertise while helping enterprise customers build scalable, high-performance machine learning solutions. You will serve as a trusted technical advisor, bridging the gap between deep infrastructure knowledge and practical AI application development. Our team is at the forefront of AI innovation, and we need a self-starter who thrives on solving complex engineering challenges to help our customers unlock the full potential of Google Cloud.
In this role, you will be responsible for driving the adoption of Google Cloud's AI infrastructure. You will work directly with customers to architect solutions that leverage the massive parallelism of TPUs for training and serving large-scale models. Whether it's optimizing a custom model or troubleshooting infrastructure bottlenecks, you will be the technical champion for our clients, ensuring they achieve their machine learning goals with reliability and speed.
Tanggung Jawab
- Advise customers on designing and implementing AI solutions using Google Cloud's TPU hardware and machine learning services like Vertex AI.
- Collaborate closely with Google's product and engineering teams to provide feedback and drive feature enhancements based on real-world customer needs.
- Troubleshoot complex infrastructure, networking, and application issues to ensure high availability and performance of customer ML workloads.
- Conduct technical workshops, training sessions, and architecture reviews to empower customers to build best-in-class ML models.
- Build and demonstrate Proof of Concepts (PoCs) to showcase the power of Google Cloud's AI infrastructure to prospective and existing clients.
- Drive the adoption of open-source AI frameworks (TensorFlow, JAX, PyTorch) within the customer base and optimize them for Google Cloud.
Kualifikasi
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; Master’s degree preferred.
- 5+ years of experience in software engineering, DevOps, systems engineering, or a related technical role.
- Strong proficiency in Python, Linux, and scripting languages (Bash, PowerShell).
- Deep understanding of machine learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with containerization technologies (Docker, Kubernetes) and cloud platforms, with a preference for Google Cloud Platform (GCP).
- Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse audiences.