Careers
Quick summary
- Work type
- On-site
- Location
- —
- Posted
- 44 days ago
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Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 749 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As a Qualcomm Software Engineer, you will join a dynamic team focused on developing cutting-edge embedded and cloud edge software applications in AI/Gen AI and Computer Vision. Your daily responsibilities include designing high-performance software for industrial systems, working with inference frameworks like Py-Torch and TensorFlow to build real-time embedded AI applications, and optimizing AI pipelines for efficiency. You will leverage C++, Python, and other key technologies while contributing to the design of AI SDKs and workflows that enable commercial-quality application development. Additionally, you will engage in code reviews and regression testing to maintain high engineering standards. This role requires a strong background in Linux system-level programming and experience with GenAI orchestration frameworks such as Lang-Chain for building agent-based systems and RAG pipelines.
Skills
What you'll do
- Design and develop high-performance embedded and cloud edge software applications using C, C++, and Python.
- Implement AI/GenAI inference frameworks like Py-Torch and TensorFlow for real-time embedded systems.
- Create agent-based GenAI orchestration pipelines using Lang-Chain and Llama-Index.
- Optimize AI pipeline performance for latency, memory footprint, and power efficiency.
- Develop AI SDKs and workflows to enable commercial-quality application development.
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.
- 1+ year designing 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.
- Design and develop AI/GenAI SDKs for commercial-quality application development.
- Optimize AI pipelines for performance, latency, memory footprint, and power efficiency.
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