亚马逊Senior Technical Account Manager - GPU (北上广深)

任职要求

基本任职资格
- 5+ years in cloud technical support, solutions architecture, or customer success management, with at least 3 years of hands-on experience in GPU/accelerated computing platforms.
- In-depth understanding of GPU instance families (e.g., AWS G/P/H series) or similar offerings from other cloud providers, AMI/driver/CUDA/container compatibility management, and cloud storage/network performance tuning (e.g., S3 I/O, EBS/Instance Store equivalents, preprocessing pipelines). Proficient in scheduling GPU workloads with EKS or equivalent Kubernetes-based orchestration services, including node pool tiering, resource quotas, elastic scaling, and auto-recovery strategies. Experienced in multi-GPU/multi-node distributed computing (NCCL, topology awareness, tensor parallelism, pipeline parallelism) with expertise in communication optimization for large-scale AI training and inference.
- Skilled in PyTorch/TensorFlow performance analysis and optimization, including DataLoader tuning, mixed precision, operator fusion, and inference acceleration toolchains (ONNX, TensorRT, CUDA Graphs).
- Experienced in cost and capacity governance, familiar with Savings Plans, RI, ODCR, Spot, Capacity Blocks, and right-sizing strategies or their equivalents in other cloud platforms.
- Demonstrated cross-functional communication and influence skills, capable of driving technical solutions with data and business objectives.

优先任职资格
- AWS Solutions Architect Professional, Machine Learning Specialty, or DevOps Professional cert…

工作职责

*Hiring location: Beijing, Shanghai, Guangzhou, Shenzhen, Hong Kong(visa sponsorship provided)

Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS) and help shape the future of GPU optimization and high-performance computing? Join us in helping customers across all industries to maximize the performance and efficiency of their GPU workloads on AWS while pioneering innovative optimization solutions.

As a Senior Technical Account Manager (Sr. TAM) specializing in GPU Optimization in AWS Enterprise Support, you will play a crucial role in two key missions: guiding customers' GPU acceleration initiatives across AWS's comprehensive compute portfolio, and spearheading the development of optimization strategies that revolutionize customer workload performance.

Key Job Responsibilities
- Build and maintain long-term technical relationships with enterprise customers, focusing on GPU performance optimization and resource allocation efficiency on AWS cloud or similar cloud services.
- Analyze customers’ current architecture, models, data pipelines, and deployment patterns; create a GPU bottleneck map and measurable KPIs (e.g., GPU utilization, throughput, P95/P99 latency, cost per unit).
- Design and optimize GPU resource usage on EC2/EKS/SageMaker or equivalent cloud compute, container, and ML services; implement node pool tiering, Karpenter/Cluster Autoscaler tuning, auto scaling, and cost governance (Savings Plans/RI/Spot/ODCR or equivalent).
- Drive GPU partitioning and multi-tenant resource sharing strategies to reduce idle resources and increase overall cluster utilization.
- Guide customers in PyTorch/TensorFlow performance tuning (DataLoader optimization, mixed precision, gradient accumulation, operator fusion, torch.compile) and inference acceleration (ONNX, TensorRT, CUDA Graphs, model compression).
- Build GPU observability and monitoring systems (nvidia-smi, CloudWatch or equivalent monitoring tools, profilers, distributed communication metrics) to align capacity planning with SLOs.
- Ensure compatibility across GPU drivers, CUDA, container runtimes, and frameworks; standardize change management and rollback processes.
- Collaborate with cloud provider internal teams and external partners (NVIDIA, ISVs) to resolve cross-domain complex issues and deliver repeatable optimization solutions.

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