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 current 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 new 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