安克创新Package Engineer

1.According to MRD, product performance requirements and process capability, responsible for packaging scheme selection,adopt EDA tool design PKG substrate. 2.Have ability to early PKG feasibility for new device and feedback suggestion to related department. 3.Adopt Auto CAD to design POD and wirebonding and marking drawing. 4.Adopt EDA tool design Daisy chain PKG&PCB. 5.Optimizing Bump design, develop and optimizing Ball Map. 6.Collaborated closely with the substrate factory and make new design rule can meet mass production and high performance.

1.新设备(Wafer on Wafer，Chip on Wafer，2.5D/3D堆叠)导入/验证, 设备参数及操作规范的建立及维护 2.熟悉相关设备及原理，解决设备异常，维护并优化设备稳定性 3.对设备存在的问题进行优化以满足工艺和生产需求，达成最大产出及降低成本 4.熟练使用各种设备运维工具。

1. Responsible for design floor plan and bump layout of customer SoC and Silicon/Glass/RDL interposer, and escaping trace line to satisfy SerDes trace line for Signal Integrity and Power Integrity against customer's requirement. 2. Responsible for design of daisy chain to satisfy its design of experiment for advanced 2.5D package structure, cost and warpage specification. 3. Responsible for electrical pre-simulation analysis working with off-chip level of package based on RLC and S-parameter extracted how to optimize SoC SerDes with FCBGA and Silicon/Glass/RDL interposer level. 4. Leading design work of DFM (Design For Manufacturing), DFR (Design For Reliability), and DFP (Design For Performance) with adjacent team and variant vendors. 5. Preparation/discussion/confirmation for unit drawing spec with variants carrier, bonding spec, and package of drawing with adjacent team and variant vendors. 6. Understanding result of signal integrity and power integrity from customer and external department, planning and doing DoE to satisfy with package design activity based on co-worked with adjacent team and variant vendors.

Responsibilities Collaborate with GPU sales team and SCE AIML TPM team to provide technical support for customers both at pre-sales and after-sales stage. Take ownership of problems and work to identify solutions. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Collaborate with customers’ scientists and software/infrastructure engineers to understand infrastructure requirements for training, testing, and deploying machine learning models. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre-processing techniques. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Stay updated on emerging technologies and best practices in AI/ML infrastructure and evaluate their potential impact on our systems and workflows. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Qualifications: Experience in scripting and automation using tools like Ansible, Terraform, and/or Kubernetes. Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools for managing distributed systems. Solid understanding of networking concepts, security principles, and best practices. Excellent problem-solving skills, with the ability to troubleshoot complex issues and drive resolution in a fast-paced environment. Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and convey technical concepts to non-technical stakeholders. Strong documentation skills with experience documenting infrastructure designs, configurations, procedures, and troubleshooting steps to facilitate knowledge sharing, ensure maintainability, and enhance team collaboration. Strong Linux skills with hands-on experience in Oracle Linux/RHEL/CentOS, Ubuntu, and Debian distributions, including system administration, package management, shell scripting, and performance optimization.