Engineer - LLM Coding Agent

Huawei Canada has an immediate 12-month contract 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.

About the ideal candidate:

• 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.