Job description
Huawei Canada has an immediate permanent opening for an Engineer.
About the team:
The Data and Privacy Protection Technology Lab is dedicated to ensuring user data flows while maintaining privacy. Researchers focus on key areas such as user identity authentication, data integrity, privacy protection, extensive model privacy assessment, multi-modal data identification, differential privacy, and federated learning. The lab supports deep research and encourages publications in leading journals. Research outcomes are applied across various Huawei product lines, including mobile phones, smart devices, and communications technologies.
About the job:
- Research and analyze state-of-the-art system security and trusted computing technologies for consumer, heterogeneous (CPU/GPU/NPU-based), cluster computing architectures for high-performance computing use cases such as AI and Large Language Models (LLMs), novel access control systems, hardware-assisted security
- Design and implement technology prototypes for validating and demonstrating their feasibility, and support their integration into data centers, network equipment or consumer-facing devices
- Write design documentation and publish research results in well-known conferences
- Participate in industry analysis, do strategic planning of new features, and contribute to industry standards on platform security (e.g. TCG)
- Design and implement system level introspection framework for the new internal Operating System
Job requirements
About the ideal candidate:
- PhD / Master’s degree or equivalent experience in computer / electrical engineering or related fields, with a research mindset and preferably with 2+ years of industry-relevant R&D experience.
- Deep understanding of computer architecture and operating system concepts.
- Proficiency with at least one system level programming language: C/C++/Rust.
- Experience and understanding in threat prevention technologies and techniques on Linux/Windows/Android operating systems.
- Experience with software security concepts like
- OS and hardware isolation (containers, hypervisors)
- compiler-assisted defenses (CFI, memory tagging, sanitizers)
- Experience with ML concepts, or use of ML for security purposes is an asset.
- Experience with eBPF architecture and tooling development.
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