Customer Engineer, Ai Infrastructure Modernization Tpu, Google Cloud
- 10 - 15 years
- Mumbai
- 14 days ago
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Job Description
- Design and implement complex, multi-host AI training and inferencing solutions on Google Cloud TPUs.
- Conduct performance profiling and optimization of customer models and data pipelines for the TPU architecture.
- Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking.
- Serve as a technical expert on the Google Cloud AI infrastructure, specifically guiding customers through the architecture, deployment, and optimization of large-scale, cost-efficient training and inference jobs on Cloud TPUs.
- Guide customer discussions on network topologies, compute/storage, and support bring-up of server/network/cluster/cooling deployments.
- Collaborate with fellow sales Googlers to problem-solve key technical issues for our customers.
Job Requirements
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- Minimum 10 years of experience with cloud native architectures and modern cloud infrastructure with networking switching/routing for Ethernet/RoCE/infiniband.
- Experience developing and deploying models using deep learning frameworks (TensorFlow, PyTorch, or JAX).
- Strong understanding of AI infrastructure market, including main technology providers, differentiators, and trends.
- Ability to work and grow in fluid environments.
- Excellent communication and problem-solving skills.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: GoogleLocation(s): Mumbai+ View Contact
Keyskills: jax tensorflow performance tuning gcp pytorch networking cloud native architecture
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