# Principal / Director Software Engineer – AI Accelerators (Datacenter) at Qualcomm

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> Responsibilities: - Architect, deliver, and own scalable, hi

- **Company:** Qualcomm (https://jobs.trythestack.co/companies/qualcomm)
- **Location:** Cork, [object Object], Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** C++, Python, PyTorch, LLM Inference Optimization, Distributed Systems, Kubernetes, Triton Inference Server, SGLang, vLLM, NPU Programming, Linux System Optimization, High Performance Computing, System Architecture, Team Leadership, Model Serving Infrastructure, RoCE
- **Posted by employer:** 2026-05-27
- **Added to The Stack:** 2026-05-28
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://careers.qualcomm.com/careers/job/446718680367-principal-director-software-engineer-%E2%80%93-ai-accelerators-datacenter--cork-ireland (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/principal-director-software-engineer-ai-accelerators-datacenter-qualcomm

## About the role

Responsibilities:
- Architect, deliver, and own scalable, high-performance AI model serving platforms for datacenter and cloud providers.
- Lead design and development of software stacks for NPUs/accelerators, focusing on LLM inference and fine-tuning workloads.
- Drive runtime and inference optimizations (dynamic batching, scheduling, memory management, latency reduction over RoCE/low-latency fabrics).
- Grow and mentor a mid-sized engineering team (20+), establish best practices for performance, reliability, and observability.
- Collaborate cross-functionally with hardware, research, platform, and product teams to align roadmaps and deliveries.
- Design production-grade distributed systems: orchestration, deployment, high availability, fault tolerance, and monitoring.
- Implement Linux/system-level optimizations and low-level integrations for custom accelerator runtimes.

Requirements:
- 15+ years software engineering experience with 5–8+ years in technical leadership roles.
- Expert-level C/C++ and Python; strong system-level programming experience.
- Hands-on experience with PyTorch and modern ML frameworks and building LLM-serving platforms.
- Practical experience with accelerator execution runtimes (CUDA/ROCm or equivalent), NPU programming, and Linux optimization.
- Proven knowledge of Kubernetes, Triton Inference Server, and LLM serving frameworks (SGLang, vLLM, etc.).
- Deep understanding of distributed systems, high-performance computing, networking (RoCE), and production reliability.
- Experience operating in matrixed, geographically distributed organizations and owning technical roadmaps.

## Responsibilities

Lead the design and deployment of next-generation AI accelerator software systems for datacenters, focusing on high-performance LLM inference and fine-tuning. Manage and grow a mid-sized engineering team while collaborating cross-functionally to deliver production-grade AI infrastructure.

## Requirements

Requires 15+ years of software engineering experience with significant leadership experience and expertise in C++, Python, and PyTorch. Must have a proven track record of building LLM-based systems and working with AI accelerator runtimes like CUDA or ROCm.

## FAQ

- **Is this Principal / Director Software Engineer – AI Accelerators (Datacenter) role still open?** It was posted on 2026-05-27. Listings more than 30 days old may no longer be active, so check Qualcomm's site before applying.
- **Does Qualcomm offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Qualcomm's site.
- **Where is this role located?** The listing gives the location as Cork, [object Object], Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: C++, Python, PyTorch, LLM Inference Optimization, Distributed Systems, Kubernetes, Triton Inference Server, SGLang, vLLM, NPU Programming, Linux System Optimization, High Performance Computing, System Architecture, Team Leadership, Model Serving Infrastructure, RoCE.

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## Notes for agents

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