LLM Inference Engineer — Cloud AI Platform

Qualcomm; Ireland; On-site; EUR 110,000 - 170,000; Full time

Benefits offered by this job

Salary and bonus

Parental leave

Employee stock purchase

Pension matching

Education assistance

Relocation support

Insurance

Job summary

QT Technologies Ireland Limited in Cork, Ireland, is hiring LLM Serving Engineers to join our Cloud AI team. The role spans the full product lifecycle—from cutting-edge research to deployment—and demands strong hands-on coding and collaboration.

You will build scalable LLM inference platforms, contribute to serving packages, work with customers, and advance inference optimization techniques. A background in PyTorch, Python, and distributed systems is essential, with advanced degrees preferred.

Qualifications

• Hands-on experience with LLM serving/Orchestration packages (e.g., Triton-Inference Server, vLLM, SGLang).
• Deep understanding of foundational LLMs, VLMs and transformer architectures.
• Strong Python development skills for large-scale projects.

Responsibilities

• Building a scalable LLM inference platform using advanced techniques.
• Contribute to development of LLM Serving packages.
• Collaborate with customers and internal teams to drive solutions.

Skills

LLM serving packages

PyTorch

Python development

Distributed systems

Algorithms & data structures

Computer architecture

Open-source collaboration

Education

MS in CS/ML/CE/EE

PhD in CS/CE/ML

BS + 4+ yrs software eng

MS + 3+ yrs software eng

PhD + 2+ yrs software eng

Tools

Triton-Inference Server

vLLM

SGLang

Ollama

llm-d

KServe

LMCache

MoonCake

Job description

QT Technologies Ireland Limited in Cork, Ireland, is hiring LLM Serving Engineers to join our Cloud AI team. The role spans the full product lifecycle—from cutting-edge research to deployment—and demands strong hands-on coding and collaboration.

You will build scalable LLM inference platforms, contribute to serving packages, work with customers, and advance inference optimization techniques. A background in PyTorch, Python, and distributed systems is essential, with advanced degrees preferred.