Senior Software Engineer – Edge AI/GenAI

Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $111,300–$166,900 / yr
Posted: 8 days ago
Closes: Dec 6, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k

This role $139k

$97k most similar roles pay here $245k

This role pays less than 88% of similar roles. Most pay $146,375–$224,493 — the shaded band above. At the midpoint, this role pays about $139k versus about $185k 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 742 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 421 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Senior Software Engineer – Edge AI/GenAI

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As a Software Engineer at Qualcomm Technologies, Inc., you will join a dynamic team focused on developing cutting-edge embedded and cloud edge software applications in AI/Gen AI and Computer Vision domains. Your daily responsibilities include designing high-performance software for industrial systems, working with frameworks like PyTorch, TensorFlow, and ONNX Runtime to build real-time AI applications, and optimizing AI pipelines for efficiency. You will also contribute to the development of AI SDKs and workflows that empower application developers to create commercial-quality products. Essential skills include proficiency in C, C++, and Python, experience with GenAI orchestration frameworks like Lang-Chain, and a strong background in Linux system-level programming. This role requires hands-on technical execution and participation in code reviews and regression testing to ensure top-tier product quality.

Skills

C C++ Python PyTorch TensorFlow ONNX Runtime Llama.cpp Lite-RT Linux Multithreading Concurrency Memory Handling IPC Mechanisms Zero-Copy Architectures AI GenAI SDK Development Performance Optimization Latency Reduction Power Efficiency

What you'll do

Design and develop embedded and cloud edge software applications for AI/Gen AI and Computer Vision.
Build high-performance software using C, C++, and Python for industrial systems.
Implement real-time embedded AI applications with experience in GenAI inference frameworks.
Develop AI SDKs and workflows to enable commercial-quality application development.
Optimize AI pipelines for performance, latency, memory footprint, and power efficiency.
Participate in code reviews and regression testing to maintain engineering standards.

What we're looking for

2+ years of experience in C, C++, and Python for high-performance software development.
Experience with AI/GenAI inference frameworks like PyTorch, TensorFlow, ONNX Runtime.
Design and develop real-time embedded AI applications with hands-on technical skills.
Hands-on experience with GenAI orchestration frameworks such as Lang-Chain and Llama-Index.
Strong background in Linux system-level programming including multithreading and concurrency.

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