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