Senior Researcher - AI Powered Big Data Platform

Huawei Canada; Markham; On-site; CAD 80,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Senior Researcher to join their Computing Data Application Acceleration Lab. This role involves tracking emerging trends in AI and big data, developing proof-of-concept systems, and collaborating with stakeholders to create effective technology solutions. The ideal candidate will possess a strong academic background, significant software development experience, and proficiency in big data infrastructures. Join a forward-thinking team dedicated to enhancing algorithm performance and driving technological advancements in the industry. If you're passionate about research and technology, this is the perfect opportunity for you.

Qualifications

• 5+ years of software development experience with C++/Java.
• Proficiency in big data infrastructures like Hadoop and Spark.

Responsibilities

• Track trends in AI and big data systems, conducting analysis and insights.
• Develop proof-of-concept AI-powered big data system infrastructure.

Skills

C++

Java

Object-Oriented Design

Machine Learning

Communication Skills

Education

MSc in Computer Science

PhD in Computer Science

Tools

Hadoop

Spark

Git

Maven

Job description

Huawei Canada has an immediate permanent opening for a Senior Researcher.

About the team:

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 is to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

1. 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.
2. Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.
3. 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.
4. Integrate the PoC system into our existing product and deliver it to the production team.
5. Generate intellectual property such as patents and trade secrets from research findings, and/or publish papers in peer-reviewed scientific journals/conferences.
6. Present research findings at conferences and participate in research collaborations with external research institutes and universities.

About the ideal candidate:

1. Holds an MSc or PhD in Computer Science, Software Engineering, Computer Engineering, or reflecting a solid academic foundation for the role.
2. Has 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.
3. Demonstrates proficiency in at least one of the core big data system infrastructures, including Hadoop, Spark, Flink, Ray, Hive, HBase, MongoDB, and others.
4. Familiarity with recent machine learning, large language models, and generative AI models.
5. Knowledge of system/processor performance, CPU/GPU/NPU architectures, and compilers is an asset.
6. Familiarity with CICD, and tools such as Git and Maven is an asset.
7. Ability to work effectively both individually and within a multi-zone and multi-site team, contributing seamlessly to collaborative efforts.
8. Good communication, presentation, and collaboration skills. Proficient in leveraging resources from both industry and academia.