Principal SW Engineer, LLM Serving

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$223,600–$335,400 / yr
Posted
40 days ago
Freshness
Confirmed live today
Closes
Mar 16, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $280k
$121k $358k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $174,600–$250,250 — the blue band above. At the midpoint, this role pays about $280k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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At a glance

TL;DR · Principal SW Engineer, LLM Serving

The Principal SW Engineer - LLM Serving (Cloud AI) joins the Cloud AI team to develop software solutions for Inference Acceleration. This role involves the entire product life cycle, from early R&D to commercial deployment, requiring the delivery of large commercial software projects. The engineer will execute, analyze, and optimize neural networks while writing high-performance software for multicore systems. Key responsibilities include performance modeling of SoC architectures and analyzing software/hardware solutions on multi-core architectures involving caches, memory, and PCIe. Required technical skills include C++, Python, and PyTorch, with specific experience in serving frameworks like vLLM. The role addresses technical challenges in LLMs, multi-modal, and reasoning models, requiring a deep understanding of neural network operators, linear algebra, and machine learning accelerators.

What you'll do

  • Develop software solutions for inference acceleration across the full product life cycle.
  • Plan, manage, and deliver large-scale commercial software projects.
  • Develop and optimize high-performance software for multicore systems using C++ and Python.
  • Execute, analyze, and optimize neural networks for machine learning applications.
  • Analyze software and hardware performance on multi-core architectures including cache, memory, and PCIe.
  • Perform performance modeling of SoC architectures and machine learning accelerators.
  • Implement and support serving frameworks such as vLLM.
  • Develop and optimize neural network operators and mathematical libraries.

What we're looking for

  • Bachelor's degree in a related field and 8+ years of engineering experience.
  • Master's degree in a related field and 7+ years of engineering experience.
  • PhD in a related field and 6+ years of engineering experience.
  • Proven ability of planning, managing and delivering large commercial software projects (preferred).
  • Experience in serving frameworks like vLLM, PyTorch, and writing high-performance software for multicore systems (preferred).
  • Strong understanding of LLMs, multi-modal models, and neural network operators (preferred).
  • Experience with C++, Python, and performance modeling of SoC architectures (preferred).
  • Experience with machine learning accelerators and related software is highly desired (preferred).

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