High Availability / AI Infrastructure Software Engineer

JD.com All jobs
Remote Netherlands
15 day(s) ago
Job Overview
Company JD.com
First Seen 15 day(s) ago

Job Description

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. Bonus points Deep understanding of the underlying source code and runtime mechanisms of PyTorch Megatron-LM or DeepSpeed. Bonus points Proficient in GPU/NPU architecture with hands-on development and optimization 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. 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. Ready to apply? Take the next step in your career apply now and explore the opportunities we have to offer.

Unlock: Sign Up for free / Sign In and use the searches from your home page or the links in the footer.