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

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Updated 2026-11-05, from our data and official sources.

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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.

Key skills

• C++ — in 133 other listings on The Stack
• Python — in 1200 other listings on The Stack
• PyTorch — in 92 other listings on The Stack
• LLM Inference Optimization — in 2 other listings on The Stack
• Distributed Systems — in 342 other listings on The Stack
• Kubernetes — in 585 other listings on The Stack
• Triton Inference Server — not in any other listing on The Stack
• SGLang — not in any other listing on The Stack
• vLLM
• NPU Programming
• Linux System Optimization
• High Performance Computing
• System Architecture
• Team Leadership
• Model Serving Infrastructure
• RoCE

On The Stack (as of 2026-11-05)

• Qualcomm has 30 other listings on The Stack, 30 of them marked as offering visa sponsorship.
• 37 visa-sponsored jobs in Ireland on The Stack, posted in the last 60 days.
• 195 visa-sponsored software engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Qualcomm

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.