英伟达System Performance Analysis Engineer, Silicon Co-Design Group
任职要求
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking system performance analysis engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. As part of Silicon Co-Design Group, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. What You'll Be Doing: • Drive to perform large-scale benchmarks for competitive analysis and comparative analysis. • Design tools to automate product definitions, data collection, test case execution, and results analysis. Provide detailed data analysis of functionality, performance, and latency. • Develop methodologies to optimize HW/SW performance and power management to maximize Perf/Power and user-experience on AC and on DC power. Partner with the different architecture and design teams teams on improvement areas. • Research new architectural features for next generation GPU, CPU and SOC to optimize performance and power features development, and transcend product goals. • Tackle multi-variable problems via system level modeling, testing and characterization, trend analysis/projection, and model verification. Brings depth and expertise in product performance-per-watt feature development. • Utilize AI-driven techniques to enhance performance prediction models and power management strategies. What We Need to See: • BS pr MS in EE/CE, 5+ years of experience with a strong focus of performance and power management on one or two of below areas that optimize power for perf-per-watt efficiency in datacenter or client systems: DVFS, power gating, clock policy, sequencing, throttling, control systems, boot/reset. • Strong EE fundamentals on digital design, low power design, DVFS, control systems, power management techniques, timing, and architecture. • Solid understanding of firmware/driver structures and HW/SW interaction with different IPs, including…
工作职责
N/A
1、负责内存芯片（System Cache、SMMU、DDR）及存储器模块的架构设计、优化和性能提升； 2、负责内存管理以及子系统优化，负责多媒体领域内存管理（包含性能优化、内存容量管理等）和性能优化； 3、负责文件系统、老化等系统分析、设计和优化，提升系统性能； 4、洞察行业内存存储技术，研究软硬件前沿技术，输出领域技术规划，推动软硬件协同设计。
1.参与AI与GPU相关项目的性能优化与研发，通过利用并行计算优化、架构优化、量化优化和异构调度等高性能优化技术，研发行业领先的高性能异构AI优化技术与编译优化技术； 2.针对搜广推、音视频以及大模型场景，优化大模型训练和推理场景的性能； 3.与公司各算法部门深度合作，对重点项目进行算法与系统的联合优化。
1、参与大模型推理/训练优化。通过研发业界领先的AI Compiler 技术，支撑搜推场景在GPU上的训练计算性能优化；支持大模型推理优化技术在异构硬件上的落地； 2、参与各种大模型推理所需的功能性开发任务；相关编译优化功能开发，以图优化、算子融合、GPU高性能算子开发及自动Codegen等技术手段不断推高在不同卡型上的计算性能极限； 3、参与支持日常的大模型推理服务部署，参与内部日常提效工具的研发。
Headquartered in Singapore, Ant International powers the future of global commerce with digital innovation for everyone and every business to thrive. In close collaboration with partners, we support merchants of all sizes worldwide to realize their growth aspirations through a comprehensive range of tech-driven digital payment and financial services solutions. We are seeking for Java Software Engineers for our Malaysia Tech Center, work on end-to-end solutions for cross-border payments for our global merchants and globalization business. Key Responsibilities: 1. Design solutions involving integration with multiple systems and services. 2. Develop high volume, high performance, low latency and reliable mission critical applications. 3. Write maintainable, robust, and testable code. 4. Perform code and test case review. 5. Implement processes, solutions or tools to improve software delivery and quality. 6. Able to adopt latest software development trends and industry best practices.