3 дня назад
AI Infrastructure Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Infrastructure Software Engineer (AI Infrastructure/Python/GPU): Building AI infrastructure architecture and intelligent computing systems for cross-border e-commerce with an accent on GPU scheduling, fault tolerance, and cluster observability. Focus on optimizing Kubernetes or Ray resource allocation, implementing elastic checkpointing, measuring MFU/HFU utilization, and solving complex distributed systems challenges.
Location: London, United Kingdom
Company
is a NASDAQ-listed global technology and supply chain enterprise serving more than 700 million active customers across retail, logistics, technology, property, and cross-border commerce.
What you will do
- Build AI infrastructure architecture for cross-border e-commerce and implement architectural standards.
- Lead top-level architecture design for complex technical projects and break down execution steps.
- Develop and optimize GPU resource scheduling within Kubernetes or Ray.
- Improve GPU cluster fault recovery and implement elastic fault tolerance through checkpointing.
- Build cluster efficiency evaluation models and measure computing resource utilization using MFU and HFU.
- Track emerging AI infrastructure technologies and introduce solutions aligned with business needs.
Requirements
- 3+ years of experience in AI infrastructure, distributed systems, high-performance computing, or large-scale cloud platform development.
- Proficiency in Python, data structures, algorithms, and rigorous coding practices.
- Hands-on experience with GPU/NPU architecture and optimization using CUDA C/C++ or Triton.
- Deep understanding of the source code and runtime mechanisms of PyTorch, Megatron-LM, or DeepSpeed.
- Bachelor’s degree or higher in Computer Science, Electronic Information, Automation, Applied Mathematics, or a related field.
- Strong technical curiosity and ability to follow advanced AI infrastructure trends.
Nice to have
- Experience in cross-border e-commerce.
Culture & Benefits
- Work on global projects across technology, retail, logistics, and cross-border commerce.
- Access to learning opportunities and opportunities for professional growth.
- People-first and inclusive working environment.
- Collaborative culture emphasizing ownership and high-quality results.
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