Senior Security Research Engineer

4 weeks ago

Markham, Ontario, Canada Huawei Technologies Canada Co., Ltd. Full time

At Huawei Technologies Canada Co., Ltd., we are seeking a highly skilled Senior Security Research Engineer - OS and Device Protection Specialist to join our team.

The ideal candidate will have a strong background in computer architecture and operating system concepts, with a focus on system security and trusted computing technologies.

Responsibilities:

  • 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.

What you'll bring to the team:

  • 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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