亚马逊Solutions Architect - Auto, Auto SA

*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. ------------------------------------------------------

You'll be joining the Lazada Pay team with extensive portfolio covering various Business Domains: Payments, Wallet, PayLater, Loans, Insurance, Digital Goods, Travel and more. 您将加入Lazada支付团队，负责覆盖支付、数字钱包、先享后付（PayLater）、贷款、保险、虚拟商品、旅行等多元化业务领域。 YOU CAN EXPECT TO BE 1) A Strategic Influencer, Pragmatic Do-er: Engage with customers and stakeholders to balance various objectives while maintaining user-centric design. Support product teams in discovery stages and define requirements using journey maps, information architecture, task flows, and user flows. Collaborate with product managers to fuel product roadmaps and prioritize new features, informed by UX perspectives. Transform abstract concepts into reality through teamwork with software architects and engineers. 2) A Savvy Operator in a Fast-Paced Environment: Manage ambiguity and navigate diverse stakeholder opinions to find suitable solutions. Deliver high-quality, compliant designs quickly, adapting to the iterative design process. Evolve the Design System by maintaining UX/UI standards and ensuring consistency across digital products. Provide guidance on UX/UI best practices across teams. KEY RESPONSIBILITIES 1) Lead Design Mastery: Build impactful partnerships with various stakeholders and navigate complex corporate dynamics. Engage in hands-on design processes from service to interaction design, adhering to Scrum/Agile methodologies. Incorporate industry best practices to create engaging user experiences and validate concepts with data. 2) Stakeholder Management & Design Advocacy: Communicate design clearly at all organizational levels and foster supportive relationships. Educate stakeholders on leveraging UED expertise to maximize project impact. Manage multiple projects and expectations in a fast-paced environment to provide focus for the team. 3) Independence & Ownership in Design Projects: Organise and prioritise design requirements in alignment with strategic roadmaps. Foster collaboration through discussions/workshops with stakeholders for alignment. Visualise complex concepts simply, facilitating effective communication with Product, Engineering, and Operations teams. Apply Design Thinking to convert customer needs into effective prototypes. 4) Team Contribution to DS: Drive discussions to unify and improve design components/style libraries across domains. Advocate for proper use of design system guidelines and support ongoing design system improvements by gathering feedback and tracking usage impact. 核心职责 1. 主导设计专业实践 -与多元利益相关方建立深度合作，驾驭复杂组织关系； -全程参与设计实施（从服务设计到交互设计），遵循Scrum/敏捷开发方法； -融合行业最佳实践打造高参与度用户体验，并通过数据验证设计概念。 2. 利益相关方管理与设计赋能 -向各层级清晰传递设计价值，构建支持性合作关系网络； -引导业务方善用UED专业资源，最大化项目影响力； -在快节奏环境中管理多项目优先级，为团队提供明确聚焦方向。 3. 独立主导设计项目 -根据战略路线图梳理并优先处理设计需求； -通过研讨会等形式推动跨团队协作共识； -将复杂概念可视化简化为可执行方案，促进与产品、技术、运营团队高效沟通； -运用设计思维（Design Thinking）将用户需求转化为高保真原型。 4. 设计系统共建 -推动跨业务域设计组件/样式库的统一与优化； -倡导设计系统规范的正确应用，通过反馈收集与影响追踪持续完善系统。

Collaborate & Innovate – Work closely with cross-functional teams to identify opportunities, gather requirements, and transform challenges into scalable technical solutions. Design Advanced Models – Develop state-of-the-art data science and machine learning approaches, leveraging proven methodologies or creating custom algorithms tailored to business needs. Build Robust Systems – Partner with data engineers and platform architects to implement high-performance, real-time and batch decisioning solutions. Communicate Insights – Present findings to business stakeholders and executives, ensuring data-driven strategies translate into meaningful business outcomes. Explore & Evolve – Stay at the forefront of technological advancements by researching new techniques across data science, engineering, and visualization to continuously refine the team’s capabilities.

Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform. The ideal candidate will possess customer facing skills that will allow them to represent Amazon well within a customer's environment and drive discussions with senior personnel within the company, as well as a technical background that enables them to easily interact and give guidance to software developers and architects. You should also have a demonstrated ability to think strategically about business, product, and technical challenges. A day in the life • Serve as a key technical member of the Business Development team in helping to ensure customer success in building applications and services on the AWS platform. • Scope each customer engagement, with attention to clear and well-defined objectives and success criteria. • Own each technical engagement, and help ensure a timely and successful delivery of value. (Delivery of actual solutions to be done by AWS partners.) • Capture and share best-practice knowledge amongst the solution architect community. • Understand the AWS market segments, customer base, and industry verticals.