Researcher – Parallel Computing

Huawei Canada has an immediate 12 month contract 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 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 target annual compensation (based on 2080 hours per year) ranges from $78,000 to $150,000 depending on education, experience and demonstrated expertise.

Requirements:

• Ph.D. (preferred) 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:

1) Hybrid CPU/GPU systems (e.g., dynamic switching between CPU-only and hybrid modes), parallel computing, high performance computing

2) SIMT

3) AI Compiler

4) 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:

  1) Algorithms and data structures.

2) Computer architecture (caches, memory hierarchy, etc.)

• Having experience in the following is an asset:

1) Malware analysis/detection

2) Experience in LLM/GNN/ML with good understanding of the math fundamentals

3) TCP/IP Network stack