Tencent

Tencent

Sr. Cloud AI Infrastructure Engineer

US-California-Palo Alto · Senior

Sponsorship not specified$151k-$284kDetected 20 days ago
Distributed SystemsDeep LearningTensorFlowPyTorchNLPLLMsCybersecurityResearch

About the role

  • 2.Core Expertise: Expertise in GPGPU architectures or other mainstream AI accelerator architectures.
  • 3.Programming & Frameworks: Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton ).
  • 4.Network & Distributed Systems: Solid understanding of large-scale distributed systems, cluster topologies (e.g., Fat-tree, Torus ), and high-performance network protocols.

Requirements

  • Master's or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field.

Nice to have

  • Familiar with the architectural evolution of global leading computing enterprises
  • ability to objectively analyze the technical pros/cons and engineering challenges of different architectural paths.

Skills

  • Business Unit
  • Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy.
  • What the Role Entails
  • 1.Architecture
  • 3.Interconnect
  • 4.Technology
  • Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton ).

Compensation

  • The expected base pay range for this position in the location(s) listed above is $151,300.00 to $283,800.00 per year.

Benefits

  • Experience in the low-level adaptation and performance tuning of mainstream deep learning frameworks (e.g., PyTorch, TensorFlow) is preferred.
  • Benefits may also be pro-rated for those who start working during the calendar year.

Equal opportunity

  • As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community.

This listing is sourced directly from Tencent's careers page and normalized into a canonical job model.