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 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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Huawei Technologies provides innovative and customized network solutions for telecom carriers around the world. Huawei holds leading positions in the global market in switching, next generation network (NGN), integrated access network, DSLAM, and intelligent network. Specializing in the areas of fixed network, mobile network, optical network, data communications, and value-added services, we strive to enable the best communication with our deep understanding of customers' needs. Huawei is dedicated to delivering long term value and potential growth to our customers. Established in 1988 and headquartered in Shenzhen, China, Huawei has already won trust from over 300 telecom carriers around the world. Our products and solutions serve over 90 countries, as well as 22 of the world's top 50 operators. Huawei’s cloud computing products provide the reliability, agility, and price-performance needed for delivering cutting-edge applications and services quickly, safely, and securely to large scale of industry verticals. Our cloud deploys various popular technologies like Docker, Kubernetes, Mesos, Openstack, SDN/NFV, Hadoop, Spark, and many more. Huawei Public Cloud now mainly launched in China (and will spread to the other parts of the world) and Private cloud is deployed in several customer locations. Huawei has 400+ Worlwide Data Centers including several public/private cloud setups.