英伟达Solution Development Engineer
任职要求
• Bachelor or Master of CS/EE/Math, or equivalent experience. • 5+ years working experience. • Well understand data analytics principles and network security. • Master SQL, familiar with using Python to do data cleaning & analyzing. • Profound experience on data visualization and Mysql database usage. • Master HTML and CSS (Bootstrap), Javascript and jquery programming. • Very good at OOP programming of PHP. • Able to quickly understand the business and discover the connections between business & data. • Experience in Python • Proficient English. Ways to stand out from the crowd: • Have both hardware and software background especially in factory environments. • Machine Learning/Deep Learning training and/or experience with Pytorch/Tensorflow is preferred • Well know the principle of Shift Left. With highly competitive salaries and a comprehensive benefits package,
工作职责
We are now looking for a Solution Development Engineer to become a member of the capability/manufacturing productivity tool development team to work on tool development and maintenance for improving the productivity of product engineering. Join us to support this development!The qualified candidate will get visibility and hands-on experience on the latest NVIDIA GeForce, Quadro, Shield and Datacenter products. They will work closely with hardware, software, and product engineers to design, develop, and maintain the high-quality, reliable software tools that help improve the productivity for solving technical needs from NPI and mass production, including setting up analytic approaches, capturing and analyzing data in an effective and efficient manner. What you’ll be doing: Champion data-driven decisions and foster self-sufficiency by building data analysis solutions. Develop calculations and visualizations for real-time queries on millions of log files. Based on the business to build/maintain/fine-tune quantitatively analyzing models to conduct data mining for Predictive NPI to improve the performance of mass production proactively, which includes:• Participate in SW tool development for monitoring the status of mass production, managing bonepile, accelerating failure analysis and raising risk alert • Design data visualization for regular reports • Develop and maintain correlate SW tools and database at an as-needed basis. • Collaborating with Info Security team for tools deployment at factories.
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• In this role, you will • - AI Solution Development: Design, develop, and deploy AI-driven applications, across domains, such as machine learning, NLP, and computer vision, addressing both business requirements and end-user needs. • - Agent Design and Development: Design and implement intelligent agents within multi-agent systems, enabling real-time collaboration based on pre-defined goals, strategies, and data exchanges. Develop agent-based models to optimize decision-making and interactions. • - MCP Integration: Extend and integrate Multi-Agent Coordination Platforms(MCP) to optimize resource allocation, communication, and decision-making across multiple agents in shared environments. • - Collaboration with Data Science Teams: Collaborate with data scientists to refine algorithms, optimize models, and enhance AI performance, focusing on model tuning, feature selection, and performance benchmarking • - Testing and Validation: Conduct rigorous testing and validation of AI models, including unit testing, integration testing, and A/B testing, to ensure accuracy, reliability, and scalability before deployment. • - Monitoring and Maintenance: Monitor deployed AI models, track performance metrics, and implement continuous improvement strategies, including model re-training and updates based on real-world data and evolving business needs.
SENIOR PRODUCT DEVELOPMENT ENGINEER - ATE THE ROLE: Asia test program owner that owns both wafer sort and final test insertion, developing and optimizing test program, supporting production bring up, sustaining, issue debugging and continuous improvement for product indices. Working with regional teams extensively including product manager, project management, product engineering, DV, NPI, platform, software infrastructure team and hardware team on the test solutions optimization.