Hud
Singapore
Research Engineer, Quality Control for AI Training Data
Programming Full-time Mid-Senior level 6h ago
- AI
- Docker
- Linux
- Python
I
AI Summary
Design and implement distributed systems for global-scale AI inference, making AI cheaper and faster. Key responsibilities include building high-performance systems, understanding network protocols, and ensuring reliability.
Key Highlights
Build distributed systems for global-scale AI inference
Design and implement high-performance systems
Ensure reliability and minimal latency
Key Responsibilities
Design and implement the foundational layers for vLLM to serve models across thousands of accelerators
Ensure minimal latency and maximum reliability in AI inference
Understand and leverage network protocols and high-performance I/O
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Technical Skills Required
Benefits & Perks
Competitive salary (SGD 200K - SGD 400K)
Equity
Medical, dental, and vision coverage
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Nice to Have
Experience with ML serving infrastructure and disaggregated inference architecture
Familiarity with GPU programming models and memory hierarchies
Knowledge of GPU interconnects (NVLink, InfiniBand, RoCE)
Job Description
Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build.
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