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Publié il y a 6 mois

Co-op Software Engineer - AI System & Infrastructure

@ Huawei Technologies Canada Co., Ltd.

Toutes ses offres Site Web

Vancouver, Colombie-Britannique

58k–104k $/anSur placeStage
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SIGNAUX

En bref

Huawei Technologies Canada is hiring a co-op Software Engineer for its Intelligent Cloud Infrastructure Lab to work on AI system and infrastructure. The role covers LLM and multi-modal LLM scalability and performance, and redesigning AI training and inference platforms. Target compensation is $58,000 to $104,000 per year based on 2080 hours.

Salaire :

58 000 $–104 000 $ par année

Responsabilités :

  • Identify scalability and performance issues in LLM and multi-modal LLM systems
  • Initiate and plan innovation projects to build or re-architect AI infrastructure
  • Design scalable, high-performance architecture for AI training and inference
  • Collaborate with internal and external teams to deliver project features

Résumé des exigences :

  • Bachelor's, Master's or PhD in Computer Science or Computer Engineering
  • Experience building large-scale, high-performance distributed systems
  • Experience with NVIDIA TensorRT and/or Triton servers and container virtualization
  • Experience with vLLM, Ray, SGLang, Kubernetes, PyTorch or CUDA
  • Proficiency in C/C++, Go, Java, Rust, Python or C#
  • Excellent interpersonal and communication skills

Outils et compétences

KubernetesTensorRT-LLMNVIDIA TensorRTNVIDIA TritonPyTorchCUDAvLLMRaySGLang
Source et dates

Site carrière / système de candidatures · recruitee

Date publiée par l’employeur
2026-05-12
Première détection par notre source
2026-10-10
Mise à jour du dossier source
2026-11-10

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

Détails du poste

NiveauDébutant
DomaineDéveloppement logiciel
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
FormationBaccalauréat (exigé), Maîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Computer Engineering

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

Postuler

Huawei Technologies Canada Co., Ltd.

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  • Huawei Norway
  • Huawei
  • Huawei Serbia&Hungary Rep Office
  • Huawei Telekomünikasyon Dış Ticaret Ltd
  • Huawei Technologies Italia
  • Huawei Switzerland
Toutes ses offres Site Web
ChampValeur
SecteurTelecommunications
Taille10001+
Siège socialShenzhen, Guangdong
Offres sur Jobsy187
LinkedInVoir la page
Description

Huawei Canada has an immediate Co-op opening for an Engineer.

About the team:

The Intelligent Cloud Infrastructure Lab aims to innovate technologies, algorithms, systems, and platforms for next-generation cloud infrastructure. The lab addresses scalability, performance, and resource utilization challenges in existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology trends to create a robust ecosystem.

About the job:

  • Understand AI System and Infrastructure technology landscape, and identify scalability/performance issues or challenges of current LLM/multi-modal LLM systems

  • Initiate and charter innovation projects to build or re-architect AI infrastructure platform, and plan milestones accordingly

  • Provide/contribute a scalable and high-performance architecture design or re-design for the infrastructure system that is optimized for AI training and inferencing, which includes but not limited to cluster management and scheduling, LLM model deployment, elastic LLM as well as AI container cold/warm start-up optimization, and so on.

  • Collaborate with internal and external teams to deliver the project or project features that improve our overall system scalability and performance.

The target annual compensation (based on 2080 hours per year) ranges from $58,000 to $104,000 depending on education, experience and demonstrated expertise.

About the ideal candidate:

  • Bachelors, Master/PhD degree in Computer Science, Computer Engineering

  • Experience in building large scale and high-performance distributed system

  • Experience in Nvidia TensorRT and/or Triton servers. Experience in container virtualization technologies

  • Knowledge & experience in distributed system design & development, including serverless technologies

  • Work experience in one or more of the following technologies: vLLM, Ray, SGLang, Kubernetes, TensorRT-LLM, Pytorch framework, Cuda libraries, GPU technologies

  • Work experience in one or more of the following programming languages: C/C++, Go, Java, Rust, python, C#

  • Have excellent interpersonal and communication skills to collaborate with multiple teams and build strong partnerships effectively

  • Demonstrated success working on software engineering problems that span multiple products

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