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Publié il y a 10 mois

Researcher – Parallel Computing

@ Huawei Technologies Canada Co., Ltd.

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Vancouver, Colombie-Britannique

Sur placeTemps plein
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En bref

Huawei Technologies Canada is hiring a full-time Researcher on its AnShi Lab team to develop next-generation gateway software, focused on parallel algorithms and GPU/CPU hybrid designs for network rule matching. The role involves research, C/C++ implementation, and integration into products. Target annual compensation is $106,000 to $156,000 depending on education and experience.

Responsabilités :

  • Analyze and optimize parallel rule-matching algorithms for gateway policy engines
  • Design and evaluate new data structures for network gateway rule matching
  • Implement and optimize solutions in C/C++ to production quality
  • Integrate new engines into products with product and malware research teams
  • Collaborate on patents and publications

Résumé des exigences :

  • Master's in computer science, electrical engineering, mathematics or related field; PhD an asset
  • Experience with two or more of: hybrid CPU/GPU, parallel computing, SIMT, AI compilers, GPU programming
  • Strong C/C++ programming with performance-efficient code
  • Understanding of algorithms, data structures and computer architecture

Outils et compétences

CUDAHIPOpenCLCC++
Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2026-01-19
Première détection par notre source
2026-10-10
Mise à jour du dossier source
2026-11-06

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau, Laboratoire
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (exigé), Doctorat (préféré)
Domaines d’étudesComputer Science, Electrical & Computer Engineering, Mathematics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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Huawei Technologies Canada Co., Ltd.

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Toutes ses offres Site Web
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy187
LinkedInVoir la page
Description

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 engineandexplore 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 structuresfor 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 onpatents 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.

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:

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

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