Intern Engineer – C++/Rust

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.

• Contribute to software development at the product or platform level.

• Assist with the design and code writing for a specific cross-sub-system or codes of key algorithms.

• Participate in different open source and standard meetings to present solutions.

• Generate intellectual property such as patents and trade-secrets from research findings.

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

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000- $104,000 depending on education, experience, and demonstrated expertise.

• BSc or MSc in one of computer science, software engineering, or computer engineering.

• Software development experience with C++ or Rust, including object oriented design.

• Knowledge of the OS internals, compilers, Linux operating system, system/processor performance, CPU architecture.

• Strong collaboration skills to partner effectively with teams throughout the organization.

• Experience with platform/system level development with performance profiling and tuning is an asset.

• Familiarity with mainstream big data related technologies (e.g. Apache Flink, Apache Spark) and distributed frameworks is an asset.

• Knowledge of Machine Learning, vLLM, Data Agents is an asset.

• Familiar CICD, and tools such as Git, and Maven is an asset.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.