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

Qualcomm; Cork; On-site; EUR 90,000 - 170,000; Full time

Benefits offered by this job

Salary, stock and performance related

Maternity/Paternity Leave

Employee stock purchase scheme

Relocation and immigration support

Life, Medical, Travel Insurance

Education Assistance

Job summary

QT Technologies Ireland Limited in Cork invites experienced engineers to join our Qualcomm Cloud AI team as LLM Serving Engineers at multiple levels. The role spans from cutting‑edge research to commercial deployment and demands strategic thinking, strong execution, and excellent communication.

You will build scalable LLM inference platforms, contribute to serving packages, and work with customers and internal teams on performance optimization.

Qualifications

• Hands-on experience in one or more LLM serving/Orchestration packages such as Triton-Inference Server, vLLM, SGLang, Ollama, llm-d, KServe, LMCache or MoonCake.
• Deep understanding of foundational LLMs, VLMs, SLMs and transformer-based architectures.
• Strong experience in developing language models using PyTorch.
• Strong CS fundamentals - algorithms, data structures, parallel and distributed programming.

Responsibilities

• Build a scalable LLM inference platform using advanced techniques (disaggregated serving, KV-Cache management, parallelism, model optimization, kernels).
• Contribute to the development of LLM Serving packages (e.g. vLLM, SGLang, TGI, Triton-Inference server, Dynamo, LLM-d).
• Collaborate with customers and internal teams (compiler, firmware, platform) to drive solutions.
• Work with GenAI concepts (attention, MoEs) to identify optimization opportunities.
• Drive autoscaling, load balancing and routing for efficient serving.
• Engage with open-source communities to evolve the framework.

Skills

Python development

PyTorch

Distributed systems

Algorithms & data structures

C/C++/Java

LLM serving packages

Open-source contributions

Education

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field

Master's degree in Engineering, Information Systems, Computer Science, or related field

PhD in Engineering, Information Systems, Computer Science, or related field

Tools

Triton-Inference Server

vLLM

SGLang

Ollama

llm-d

KServe

LMCache

MoonCake

Job description

Company

QT Technologies Ireland Limited

Job Area

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.

We are hiringLLM Serving Engineersat multiple levels to join our dynamic, collaborative team.

This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.

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.
• Experience in analyzing, profiling, and optimizing deep learning workloads.
• Proactive learning about the latest inference optimization techniques.
• Excellent communication and problem-solving skills, with the ability to thrive in a fast-paced and collaborative environment.
• MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering.

Bonus Skills

• Open-source contribution to any GenAI package.
• Experience architecting and developing large-scale distributed systems.
• High-level kernel design experience (PyTorch, CUDA, Triton).
• Knowledge of torch.compile or torchDynamo
• PhD in Computer Science, Computer Engineering or Machine Learning

Where you will be working

Cork has a proud reputation as Ireland's second largest economic engine and is now one of the Top 20 location choices in Europe with 39,000 people being employed by over 170 overseas companies.

There's a growing diversity in the region with people from many nationalities relocating to Cork, relishing the opportunity to work and live in a location that offers an excellent quality of life.

A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes.

Equal Opportunities

We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification.

What's On Offer

• Salary, stock and performance related bonus
• Maternity/Paternity Leave
• Employee stock purchase scheme
• Matching pension scheme
• Education Assistance
• Relocation and immigration support (if needed)
• Life, Medical, Income and Travel Insurance
• Subsidised memberships for physical and mental well-being
• Bicycle purchase scheme
• Employee run clubs, including, running, football, chess, badminton + many more

Minimum Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
• References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.