Staff/Sr. Staff Software Engineer, AI Software Tools (Onsite)

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$158,400–$237,600 / yr
Posted
11 days ago
Closes
Nov 30, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $198k
$146k most similar roles pay here $270k

This role pays less than 54% of similar roles. Most pay $177,250–$232,000 — the shaded band above. At the midpoint, this role pays about $198k versus about $205k 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 750 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 430 roles with salary data.

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At a glance

TL;DR · Staff/Sr. Staff Software Engineer, AI Software Tools (Onsite)

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As a Staff/Sr. Staff Software Engineer in Qualcomm’s AI Stack SDK Software team based in San Diego, you will design and develop advanced AI/ML software solutions for Generative AI inference on Snapdragon platforms, focusing on model optimization, quantization, graph transformations, and runtime execution for modern architectures including LLMs, LVMs, and LMMs. Your daily tasks include converting and optimizing models from PyTorch and ONNX frameworks, implementing graph lowering techniques, and collaborating with ML Research teams to productize new features into SDK solutions. You will work closely with various engineering teams across multiple locations to drive features from concept to production, requiring proficiency in Python and C/C++, experience with PyTorch and ONNX models, and strong debugging skills for complex issues spanning models, runtime, OS, compiler, and hardware layers.

Skills

Python C/C++ PyTorch ONNX Qualcomm AI Stack SDK ONNX Runtime ExecuTorch Transformer architectures Attention mechanisms Mixture-of-Experts (MoE) Low Rank Adapter (LoRA) Speculative Decoding Hugging Face ecosystem PEFT Android RTOS QNX CMake Git Agile methodologies

What you'll do

  • Convert and optimize AI models from PyTorch and ONNX for efficient inference on Snapdragon platforms.
  • Design graph transformations and optimization techniques within AI runtime environments like ONNX Runtime and Qualcomm SDK.
  • Apply quantization and performance optimization to enhance latency, throughput, memory usage, and power efficiency.
  • Work with ML Research teams to prototype and productize new features into SDK solutions.
  • Debug complex issues across models, runtime, OS, compiler, and hardware layers in collaboration with QA teams.
  • Mentor junior engineers on prioritizing work and driving execution across multiple initiatives.

What we're looking for

  • 6+ years of software design, development, and delivery experience for Staff level; 8+ years for Sr. Staff level.
  • Bachelor’s degree in computer science or related field with relevant work experience.
  • 3+ years of hands-on AI/ML software development focusing on inference or model optimization.
  • Strong understanding of deep learning, transformer architectures, attention mechanisms, and performance tradeoffs.
  • Proficiency in Python and C/C++ for production-quality software development.
  • Experience working with PyTorch and ONNX models and tooling.

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