Huawei Canada has an immediate permanent opening for a Researcher.

About the team:

The AnShi Lab focuses on developing next-generation gateway software architecture by prioritizing file security and software innovation. The focus is on conducting mid- and long-term research to create high-value patents and guide datacom gateway development. The goal is to establish industry benchmarks through cloud-based, intelligent software engineering. By leveraging local resources and fostering talent, we aim to build a high-performance technical expert team, improving both organizational vitality and personnel capabilities.

About the job:

- Analyze the performance characteristics and scalability limitations of our current network gateway policy engine and explore parallel algorithms for rule lookup and incremental updates on GPUs and heterogeneous CPU/GPU or multi-core CPUs systems.
- Investigate hybrid CPU/GPU designs similar to high-speed DPI and pattern-matching systems.
- Design and evaluate new data structures for network gateway rule matching.
- Implement solutions in C/C++ and optimize them to production-quality standards (performance, robustness, and maintainability).
- Work closely with network gateway product and malware research teams to implement and integrate the current engine/solution into real products.
- Collaborate on patents and,



where appropriate, academic or industry publications.
- Participate in other malware research projects as per job needs.

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience and demonstrated expertise.

Job requirements

About the ideal candidate:

- Ph.D. (an asset) or Masters degree in Computer Science, Electrical & Computer Engineering, Mathematics, or a closely related field, with a focus on systems, high-performance computing, or databases, or equivalent research experience.
- Experience with two or more of the following:
- Hybrid CPU/GPU systems (e.g., dynamic switching between CPU-only and hybrid modes), parallel computing, high performance computing
- SIMT
- AI Compiler
- GPU programming in either (CUDA, HIP, OpenCL) or other accelerators

- Strong programming skills in C/C++ with experience writing performance-efficient code.
- Good understanding of:

- Algorithms and data structures
- Computer architecture (caches, memory hierarchy, etc.)

- Having experience in the following is an asset:

- Malware analysis/detection
- Experience in LLM/GNN/ML with good understanding of the math fundamentals
- TCP/IP Network stack

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📌 Researcher – Parallel Computing (Vancouver)
🏢 Huawei Canada
📍 Vancouver