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Tencent
Full time
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Others
10/16/2026
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Singapore, Singapore

Responsibilities

Build distributed compute engines for data and AI workloads, including query optimization, CPU/GPU scheduling, workload forecasting, and autoscaling.
Design large-scale storage architectures covering data tiering, hot/cold data detection, layout, compression, caching, and I/O optimization.
Develop multimodal data processing, data quality, metadata, natural-language query, text-to-SQL, hybrid retrieval, embeddings, reranking, agentic search, and RAG capabilities.
Build self-managing systems for monitoring, anomaly detection, root-cause analysis, performance tuning, capacity planning, and automated remediation.
Design cloud data platform architecture that integrates storage, compute, retrieval, and model serving for AI-native workloads.
Lead key modules or cross-module architecture, establish technical roadmaps, run design reviews, mentor engineers, and drive complex work into production.
Apply ML, LLMs, agents, and reinforcement learning to infrastructure problems, including reward modeling, policy optimization, feedback learning, and system optimization.
Train, fine-tune, and distill in-house models and share results through open source and top-tier conferences.

Requirements

Bachelor’s degree or higher in Computer Science or a related field, with 5+ years of software engineering experience.
Strong fundamentals in data structures, algorithms, operating systems, networking, and system design.
Excellent written and spoken English and proficiency in Chinese Mandarin, with approximately 50% of the role involving collaboration with Tencent headquarters in China.
Expertise in at least one of C++, Python, Java, Go, or Rust, with the ability to write high-quality, well-tested code and debug complex systems.
Hands-on experience building storage, compute, database, data infrastructure, or AI infrastructure systems, with deep expertise in at least one area.
Strong performance engineering skills across algorithms, models, compute, storage, networking, and scheduling, demonstrated through profiling, benchmarking, and metrics.
Solid understanding of machine learning, LLMs, or AI agents and the ability to evaluate their accuracy, cost, and reliability for production systems.
Track record of leading architecture for large-scale core systems, setting technical roadmaps, leading design reviews, and mentoring engineers.
Preferred qualifications include top-tier publications in databases, storage, systems, or AI; open-source contributions; AI-for-infrastructure projects; and production experience with GPU operators, inference engines, multimodal data pipelines, cloud-native multi-tenant systems, or serverless systems.
Experience with distributed storage, query engines, database internals, data lakehouses, resource scheduling, databases, Spark, or Ray is preferred.

Tencent

Tencent builds consumer internet platforms and digital content, best known for WeChat and QQ messaging/social apps, and operates payments, advertising, cloud, and enterprise services. Founded in 1998 and headquartered in Shenzhen, it is a public company listed in Hong Kong and a major global vide...

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