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LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer - Cork, IrelandQualcomm · Cork, County Cork, Ireland
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Qualcomm

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LLM Serving Engineer (Cloud AI Engineering), Senior / Staff Engineer - Cork, Ireland

🗓️ Posted 2026-10-05 Cork, County Cork, Ireland Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 8,333 EUR–12,500 EUR/mo

About the Company

Inspired by 250 years of American ingenuity, we build technologies that expand what's possible. From wireless to AI at scale and 6G, our innovations power progress worldwide. Semiconductor Manufacturing Specialties: Semiconductors, Wireless, Mobile, Networking, Wi-Fi, Small Cells, Wireless Power, Augmented Reality, Location Services, Internet of Things, Automotive, 5G, PC computing, Bluetooth

Responsibilities

  • ● QT Technologies Ireland Limited
  • ● Engineering Group, Engineering Group Software Engineering
  • ● General Summary
  • ● Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
  • ● This Role Involves The Following Activities
  • ● Building a scalable LLM inference platform using inference techniques (e.g. disaggregated serving and KV-Cache management, advanced parallelism, speculative algorithms, model optimization, specialized kernels).
  • ● Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
  • ● Work closely with customers to drive solutions by collaborating with internal compiler, firmware and platform teams.
  • ● Work at the forefront of GenAI by understanding advanced algorithms (e.g. attention mechanisms, MoEs) and numerics to identify new optimization opportunities.
  • ● Drive efficient serving through smart autoscaling, load balancing and routing.
  • ● Engage with open-source serving communities to evolve the framework.
  • ● Candidates For This Position Will Demonstrate The Following
  • ● Hands-on experience in one or more of the following LLM serving/Orchestration packages (Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache, MoonCake)
  • ● Deep understanding of foundational LLMs, VLMs, SLMs, transformer-based architectures.
  • ● Strong experience in developing language models using PyTorch.
  • ● Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming.
  • ● Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems.
  • ● Strong Python development skills for large-scale projects with passion for software engineering.
  • ● Proactive learning about the latest inference optimization techniques.