TPU Performance Engineer for Cutting-Edge Inference

INFERACT SINGAPORE PTE. LTD.

Singapore

On-site

SGD 167,000 - 335,000

Full time

10 days ago
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Job summary

Inferact Singapore is seeking a TPU performance engineer to advance vLLM as a premier inference engine on Google TPUs. You will develop and optimize TPU backends, compiler integrations, runtime paths, and benchmarking infrastructure using JAX, XLA, Pallas, and related tooling to achieve frontier inference performance on TPU hardware.

You will work at the boundary of inference systems, kernels, compilers, and hardware architecture, delivering production-ready model serving with clear correctness,

Qualifications

  • Bachelor's degree or equivalent in CS, engineering, systems, ML, or similar.
  • Hands-on experience building or optimizing TPU workloads with JAX, XLA, Pallas, or related tooling.
  • Deep understanding of TPU execution, memory behavior, and performance constraints for ML workloads.

Responsibilities

  • Build and optimize TPU backends and related runtime paths.
  • Develop benchmarking infrastructure and profiling workflows for TPU workloads.
  • Improve production-relevant model serving on TPU with correctness, latency, and throughput targets.

Skills

JAX/XLA/Pallas tooling
TPU performance tuning
Kernel optimization
Performance benchmarking
ML inference systems
Profiling tools

Education

Bachelor's degree or equivalent

Job description

Inferact Singapore is seeking a TPU performance engineer to advance vLLM as a premier inference engine on Google TPUs. You will develop and optimize TPU backends, compiler integrations, runtime paths, and benchmarking infrastructure using JAX, XLA, Pallas, and related tooling to achieve frontier inference performance on TPU hardware.

You will work at the boundary of inference systems, kernels, compilers, and hardware architecture, delivering production-ready model serving with clear correctness,

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