Principal / Director Software Engineer – AI Accelerators (Datacenter)

Company:

QT Technologies Ireland Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

About the Role

We are seeking a highly experienced Principal or Director Software Engineer to lead the design, development, and deployment of next-generation AI accelerator software systems for D atacenters . This role combines deep technical expertise with strong leadership capabilities to guide a mid-sized engineering team focused on high-performance AI workloads, model serving infrastructure, and scalable distributed systems.

You will play a critical role in building software that powers large-scale LLM inference and fine-tuning type workloads , optimizing performance across NPU /accelerators, and delivering production-grade AI infrastructure.

Key Responsibilities

Technical Leadership

Architect and deliver scalable, high-performance AI model serving platforms for Cloud Service Providers (CSP) and Neo-Cloud deployments.

Lead development of software stacks for AI accelerators in D atacenter environments.

Drive innovations in LLM inference optimization , including dynamic batching, scheduling, memory management, and latency reduction over high-speed networks such as RoCE , ESUN & UAL .

Grow an existing team into new areas for the si t e with adoption and optimization of frameworks such as PyTorch, SGLang, vLLM and Triton Inference Server .

Design robust, production-ready systems for distributed inference and fine-tuning workloads .

Team Leadership

Lead, mentor, and continue grow ing mid-sized team ( 2 0 + engineers) .

Establish engineering best practices in performance, reliability, and scalability.

Collaborate cross-functionally with hardware, research, and platform teams.

Own technical roadmap and execution strategy aligned with business goals.

System Design & Infrastructure

Build and maintain systems leveraging Linux Runtimes and PyTorch for Linux and Windows for server and client markers including orchestration and deployment of AI services.

Optimize Linux-based systems for high-throughput compute workloads.

Develop low-level system optimizations and integrations for N PU / custom accelerators .

Ensure high availability, fault tolerance, and observability of AI systems in production.

Required Qualifications

1 5 + years of software engineering experience, with at least 5 – 8 years in a leadership role .

Experience working in companies which have matrixed organizations spanning multiple geographic regions.

Expertise in C/C++ and Python with strong system -level programming experience.

E xperience with PyTorch and modern M achine Learning frameworks.

Proven experience building or scaling LLM-based systems or AI model serving platforms .

Hands-on experience with:

Execution Runtimes for AI accelerators ( such as CUDA/R O C m ) .

Kubernetes .

Triton Inference Server .

SGLang , vLLM or similar LLM serving frameworks .

Strong understanding of:

Distributed systems

High-performance computing

N PU/accelerator programming environments

Experience working in Linux environments at performance-critical levels.

Preferred Qualifications

Experience with custom AI accelerators / ASICs / GPUs in a D atacenter setting.

Experience with large-scale production systems serving millions of requests.

Experience with current AI LLM models/ architectures.

Contributions to open-source AI infrastructure projects.

Knowledge of networking, high-speed interconnects such as GPU Direct, ESUN, UAL, RoCE and/or RDMA .

Familiarity with performance profiling tools and optimization techniques.

Leadership Profile

Hands-on leader who can dive deep technically when needed .

Ability to strongly collaborate with leads in other sites/geo’s .

Strategic thinker with a track record of delivering complex systems end-to-end.

Strong communicator capable of aligning teams and stakeholders with an emphasis on end customer experience.

Passionate about building high-performing engineering cultures.

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

What's on Offer

Apart from working in an open, relaxed and collaborative space, you will enjoy:

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 8+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

4+ 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 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.

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