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An innovative firm is seeking a Senior Research Engineer to join their Data and Privacy Protection Technology Lab. This role focuses on enhancing user data security and privacy through cutting-edge AI technologies. The ideal candidate will engage in research on AI agent security, collaborating with global teams to develop impactful solutions for various products. With a strong emphasis on academic and industry insights, this position offers a unique opportunity to contribute to advancements in AI security while working in a dynamic and supportive research environment.
Huawei Canada has an immediate permanent opening for a Senior Research Engineer.
About the team:
The Data and Privacy Protection Technology Lab is dedicated to ensuring user data flows securely 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:
Participate in the research of AI agent security architecture and technology design in endpoint devices.
Participate in proposing, designing, and prototyping innovative AI Agent security and privacy protection technologies for Huawei Endpoint products.
Produce insights into technology development in both academia and industry.
Work closely with other research labs worldwide and product teams to optimize solutions and deliver tangible impact to real products.
About the ideal candidate:
PhD Degree in Computer Science or Computer Engineering, or a Master Degree with 4+ years of experience in related fields.
Proven proficiency in at least one of the following programming languages: C++/C, Java, Python.
Deep understanding of popular AI Agent frameworks such as LangGraph, AutoGen, etc.
Deep understanding of at least one of the following security and privacy protection technologies in AI Agent protection: identity and access control, contextual integrity, data poisoning prevention, prompt injection prevention, model stealing attack and defense, task safety protection, hallucination suppression.
Demonstrated experience in designing and developing security and privacy protection solutions for AI systems. Direct experience with AI Agent development is an asset.
Good understanding of security concepts is an asset: symmetric-key cryptography (block ciphers, MAC, and authenticated encryption), public key cryptography (digital signatures, encryption, and key establishment).