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Researcher – Parallel Computing
Researcher – Parallel ComputingHuawei • Vancouver, Metro Vancouver Regional District, CA
Researcher – Parallel Computing

Researcher – Parallel Computing

Huawei • Vancouver, Metro Vancouver Regional District, CA
16 days ago
Job type
  • Permanent
Job description

Huawei Canadahas an immediate permanent opening fora 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 base salary for this position ranges from $100000 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 :

  • 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
  • #J-18808-Ljbffr

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    Researcher Parallel Computing • Vancouver, Metro Vancouver Regional District, CA

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