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Greater London, England, United Kingdom
Onsite
Who We Are
At JD.com, also known as JINGDONG, we are building one of the world’s most trusted technology and supply chain ecosystems. What started as a bold idea in China has evolved into a NASDAQ-listed, Fortune 44 global enterprise serving over 700 million active customers. Powered by advanced logistics, innovative technology, and a commitment to integrity, JD.com operates across retail, logistics, technology, property and more, creating solutions that make everyday life smarter, faster, and more connected.
Our Global Reach
JD.com is expanding its international footprint through a digitally intelligent, cross-border supply chain and world-class logistics network, supported by platforms such as Joybuy, which brings trusted products to customers worldwide. Today, our teams operate across China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE and beyond, reaching customers in every corner of the world.
Learn more about who we are and what we do: https://corporate.jd.com/
What We Offer
Joining JD.com means becoming part of a company where people, innovation, and impact go hand in hand. We offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.
About The Team
You’ll be joining the JD.com team, which values collaboration, ownership, and a commitment to delivering high-quality results in a fast-paced, dynamic environment.
Responsibilities & Objectives
Participate in building the AI Infrastructure technical architecture for JD.com's cross-border e-commerce; develop and drive the implementation of architectural standards. Lead the top-level architectural design for complex technical projects; evaluate critical technical issues and break down project execution steps.
Scheduling System Optimisation: Participate in the R&D of the intelligent computing operating system; Optimize GPU resource scheduling capabilities within Kubernetes or Ray.
High Availability Assurance: Resolve GPU cluster fault recovery (Fault Tolerance) and elastic fault tolerance (elastic checkpointing).
Efficiency & Observability: Build cluster efficiency evaluation models; precisely measure computing resource utilisation (MFU/HFU). Track industry trends and cutting-edge technologies; introduce new technologies and solutions to the team based on actual business needs.
Requirements:
3+ years of experience in AI infrastructure, distributed systems, High-Performance Computing (HPC), or large-scale cloud platform development. Proficient in Python, with a solid foundation in data structures and algorithms, and a rigorous coding style.
Proficient in GPU/NPU architecture, with hands-on development and optimisation experience in CUDA C/C++ or Triton.
Strong self-drive and technical curiosity; ability to proactively track the most cutting-edge AI Infra trends in the industry.
Bachelor’s degree or higher in Computer Science, Electronic Information, Automation, Applied Mathematics, or related fields; experience in cross-border e-commerce is highly preferred.
Deep understanding of the underlying source code and runtime mechanisms of PyTorch, Megatron-LM, or DeepSpeed.
At JD.com, we’re committed to building a diverse and inclusive workplace where everyone can thrive. We’re proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic.
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