Senior Technical Account Manager - GPU

Join one of the fastest-growing teams within Amazon Web Services (AWS) and help shape the future of GPU optimization and high-performance computing. As a Senior Technical Account Manager (Sr. TAM) specializing in GPU Optimization in AWS Enterprise Support, you will play a crucial role in guiding customers' GPU acceleration initiatives and spearheading the development of optimization strategies.

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.
• Design and optimize GPU resource usage on EC2 / EKS / SageMaker or equivalent cloud compute, container, and ML services.
• 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 and inference acceleration.
• Build GPU observability and monitoring systems 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 to resolve cross-domain complex issues and deliver repeatable optimization solutions.

About the team : AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments.

Basic Qualifications

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, AMI / driver / CUDA / container compatibility management, and cloud storage / network performance tuning.

Preferred Qualifications

AWS Solutions Architect Professional, Machine Learning Specialty, or DevOps Professional certification or equivalent credentials from other cloud providers. Hands-on experience with NVIDIA ecosystem software and toolchains and proven ability to maintain performance consistency across versions and platforms.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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