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Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Posted: 17 days ago
Closes: Nov 16, 2026
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $180k

$123k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $152,037–$208,800.

Based on 238 similar postings.

Employer

About Qualcomm

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

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 401 roles with salary data.

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At a glance

TL;DR · Careers

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Qualcomm Technologies is hiring an experienced engineer for its Snapdragon Game Studios team to develop cutting-edge gaming AI solutions using the latest machine learning techniques and dedicated AI hardware. The role involves collaborating with cross-functional teams including hardware, software, and product experts to optimize algorithms for Snapdragon-powered devices across mobile, PC, and XR platforms. Ideal candidates will have experience with agentic AI workflows, optimizing ML accelerators like CUDA or DSPs, and familiarity with modern game engines such as Unreal Engine 4/5 and Unity 3D. The position requires a strong background in engineering or computer science and proficiency in C++, Python, PyTorch, TensorFlow, and related technologies to deliver high-performance gaming experiences on Snapdragon chipsets.

Skills

CUDA OpenCL DSP PyTorch TensorFlow TensorFlow-Lite C++ Unreal Engine 4 Unreal Engine 5 Unity 3D Vulkan OpenGL ES DirectX AI Machine Learning Shader Compute Android GPU

What you'll do

Develop novel machine learning solutions for gaming applications.
Adapt traditional game AI techniques to Snapdragon’s dedicated AI hardware.
Optimize algorithms for hardware acceleration cores using CUDA and DSPs.
Collaborate with cross-functional teams on Snapdragon-powered devices.
Work on GPU and gaming hardware innovations for mobile, PC, and XR.

What we're looking for

Bachelor’s degree or higher in engineering or computer science.
Experience implementing machine learning solutions for gaming applications.
Proficiency with CUDA, OpenCL, DSPs, and ML-specific cores optimization.
Knowledge of modern game engine architectures like Unreal Engine 4/5.
Familiarity with agentic AI workflows and best practices.

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