
Job description
Huawei Canada has an immediate 12-month internship opening for an Engineer.
About the team:
The Centre for Software Excellence Lab conducts pioneering research in software engineering, focusing on next-generation technologies. This team integrates industry best practices with cutting-edge academic research to address lifecycle software engineering challenges, including foundation model applications, software performance engineering, hyper-cluster programming, next-gen mobile OS, and cloud-native computing. This lab uniquely allows researchers to apply innovations directly to products affecting billions of customers while promoting open-source contributions, publications, conference participation, and collaborations to create a broader impact.
About the job:
Research, prototype and build state-of-the-art LLM-based autonomous coding solutions to improve the productivity and quality of software engineering.
Communicate progress and results, presenting findings in lab meetings and contributing to group knowledge.
Meet top industry and academic leaders and experts around the world, collaborate with top researchers and students, consult with Engineering teams across diverse domains.
Publish research papers in far-reaching and impactful areas and submit patent applications for novel inventions.
Job requirements
About the ideal candidate:
Currently enrolled in a Master or PhD Degree in Computer Science, Electrical & Computer Engineering, Machine Learning, or relevant domains.
Solid experience with one or more of the following programming languages: Python/TypeScript and familiarity with software development practices (version management, build management, CI/CD, debugging and profiling).
Familiar with any of these areas: Machine Learning and/or Deep Learning and LLM Application Development.
Experience with LLM Training, Finetuning and Serving, as well as mainstream LLM application frameworks (e.g., LangChain, LlamaIndex, AutoGen) is an asset.
Ability to evaluate, apply, and mature published research to real-world problems on prototype systems.
Have an inquisitive mindset, proven research and communication skills, can conduct investigations and experiments, and can interpret experiment data and present results clearly and concisely. Publications in related top-tier venues is an asset.
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