Senior Researcher - AI Powered Big Data Platform

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Track the emerging technical trends and developments for big data and AI systems in both industry and academia, conduct in-depth insight and survey analysis, and identify the direction of key cutting-edge technologies for AI-powered big data systems.

• Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.

• Analyze and define key software requirements and features, develop the proof-of-concept (PoC) AI-powered big data system infrastructure (based on our existing infrastructure) and optimize its performance and performance per cost.

• Integrate the PoC system into our existing product and deliver it to the production team.

• Generate intellectual property such as patents and trade-secrets from research findings, and/or publish papers in peer-reviewed scientific journals/conferences.

• Present research findings at conferences and participate in research collaborations with external research institutes and universities.

About the ideal candidate：

• Holds a MSc or PhD in Computer Science, Software Engineering, Computer Engineering, or reflecting a solid academic foundation for the role.

• Have 5+ years of professional software development experience with C++/Java, including object-oriented design and 2+ years of proven experience with platform/system level development with performance profiling, tuning, and optimizations, for big data, database, and/or AI system infrastructures.

• Demonstrates proficiency in at least one of the core big data system infrastructures, including Hadoop, Spark, Flink, Ray, Hive, HBase, MongoDB, and others.

• Familiarity with recent machine learning, large language models, and generative AI models.

• Knowledge of system/processor performance, CPU/GPU/NPU architectures, and compilers is an asset

• Familiarity with CICD, and tools such as Git, and Maven is an asset

• Ability to work effectively both individually and within a multi-zone and multi-site team, contributing seamlessly to collaborative efforts.

• Good communication, presentation, and collaboration skills. Proficient in leveraging resources from both industry and academia.