Staff AI Model Optimization Architect

Nutanix

Cork

On-site

EUR 140,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Salary
Stock option
Maternity Leave
Pension
Education Assistance
Relocation support
Insurance
Well-being program

Job summary

QT Technologies Ireland Limited is seeking a Staff Engineer to lead AI model optimization for large-scale models on Qualcomm accelerators in Cork. You will transform PyTorch models, rewrite graphs, and drive deployment strategies across multi-core systems.

The role partners with compiler and performance teams to scale optimizations. You will work on KVcache specifics, decoding behavior, and continuous batching, while ensuring production-ready performance.

Qualifications

  • Expert level PyTorch and inference-focused model optimization.
  • Hands-on experience with graph capture and compilation workflows (TorchDynamo, torch.compile).
  • Deep understanding of transformer architectures, MoEs, and performance trade-offs.

Responsibilities

  • Architect model optimization strategies transform PyTorch models for inference on Qualcomm accelerators.
  • Drive graph capture and deployment using PyTorch, ONNX, and torch.compile.
  • Design and implement fusion kernels using DSLs (e.g., Triton).
  • Profile and optimize LLM/VLM/diffusion inference for throughput and latency.

Skills

PyTorch
Python
TorchDynamo
Transformer
KVcache
Distributed systems
C/C++

Education

Bachelor's degree in Engineering/CS/EE
Master's degree in Engineering/CS
PhD in Engineering/CS

Tools

ONNX
Triton
TorchDynamo

Job description

QT Technologies Ireland Limited is seeking a Staff Engineer to lead AI model optimization for large-scale models on Qualcomm accelerators in Cork. You will transform PyTorch models, rewrite graphs, and drive deployment strategies across multi-core systems.

The role partners with compiler and performance teams to scale optimizations. You will work on KVcache specifics, decoding behavior, and continuous batching, while ensuring production-ready performance.

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