Huawei Canada has an immediate permanent opening for a Senior Research Engineer.About the job:- Research and design cutting-edge AI data security architectures and privacy protection technology blueprints specifically tailored for endpoint devices (including desktops, laptops, and mobile devices), ensuring secure data lifecycles in next-generation computing environments.
- Propose, prototype, and build innovative AI data security and privacy-preserving solutions for Huawei Endpoint products, driving the transition of advanced security theories into high-impact, production-grade defenses.
- Investigate global technology developments, regulatory shifts, and emerging attack vectors across both academia and industry, producing actionable insights to continuously fortify endpoint AI systems against sophisticated data threats.
- Collaborate closely with global research labs and product engineering teams worldwide to optimize end-to-end security solutions, accelerating the integration of research prototypes into real-world commercial products to deliver concrete business impact.
The
total target annual compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
- A PhD degree in Computer Science, Computer Engineering, or a closely related field (or a Master's degree with 3+ years of dedicated, hands-on experience in related security fields).
- Deep theoretical and practical understanding of advanced system-level security and privacy protection technologies, with proven expertise in at least one of the following: identity and access control, authentication, authorization, data sanitization, data loss prevention (DLP), information flow control, or confidential computing.
- Deep technical insight into AI-specific security engineering and protection mechanisms, with a solid track record in at least one of the following domains: safety alignment, safety benchmarking, data poisoning protection, robust learning, backdoor detection, prompt injection protection, RAG security, or memory security.
- Demonstrated experience in designing, architecting, and developing robust security and privacy protection solutions for complex AI systems; direct engineering experience in AI Agent development or agentic framework security is considered a significant asset.
- Strong foundations in fundamental cryptographic concepts, including symmetric-key cryptography (block ciphers, MAC, and authenticated encryption) and public-key cryptography (digital signatures, encryption, and key establishment).
- Proficiency in at least one of the following core programming languages: C/C++, Java, or Python
Additional Information:All applications for this position are reviewed directly by our hiring team,
we do not use artificial intelligence tools to screen or select candidates.
