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AI Systems Researcher/Engineer

AI Systems Researcher/Engineer

innobridge ai
Fresher
Not Disclosed
  • Posted 28 days ago
  • Be among the first 10 applicants

Job Description

We're Hiring: AI Systems Researcher/Engineer

Location: Singapore

InnoBridge is looking for a strong AI systems researcher/engineer who can independently lead R&D projects in Agentic AI, LLM systems, and next-generation computing infrastructure.

You will work on:

  • Characterizing Agentic AI / LLM workloads and execution pipelines
  • Profiling and identifying bottlenecks across CPU, GPU/NPU, memory, interconnect, and runtime
  • Analyzing computation, memory access, scheduling, data movement, and system-level performance
  • Exploring CPU–GPU/NPU collaboration, heterogeneous computing, and architecture/runtime optimizations
  • Designing experiments, evaluating system trade-offs, and translating findings into technical recommendations and architecture insights
  • Independently driving projects from problem definition and methodology to final technical delivery

Requirements

  • Master's degree or above in Computer Science or a closely related field
  • Strong background in computer systems, AI infrastructure, HPC, distributed systems, computer architecture, or LLM systems
  • Hands-on experience with performance profiling, system optimization, or GPU/accelerator computing
  • Strong programming skills in Python and C/C++
  • Ability to independently conduct research, experiments, analysis, and technical communication

Preferred

  • Publications in strong systems, architecture, AI, or LLM venues
  • Experience with GPU programming, LLM inference systems, or frameworks such as PyTorch, vLLM, SGLang, CUDA, Triton, or similar

If you are interested in understanding how Agentic AI changes the design of future computing systems, we would love to hear from you.

Send your CV to [Confidential Information]

InnoBridge Pte. Ltd.

Bridging the Future with AI Innovations

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Key Skills

GPU programming

LLM inference systems

performance profiling

AI infrastructure

computer systems

SGLang

LLM systems

vLLM

GPU accelerator computing

C/C++

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