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Qualcomm

Quick summary

Work type: On-site
Location: Santa Clara, CA
Posted: 61 days ago
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 $152,150–$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 742 open roles on FindRole.

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

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At a glance

TL;DR · Careers

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We are seeking a Staff AI Software Engineer with 5-10+ years of experience in AI/ML model development to join our dynamic team. This role involves developing and optimizing AI/ML models for edge devices, performing quantization and debugging tasks to ensure high performance, conducting CPU profiling and managing DDR, and deploying ML models on cloud platforms. The ideal candidate will collaborate with cross-functional teams to integrate AI solutions into wireless and networking systems, enhancing the scalability of AI applications. Required skills include expertise in CNNs, model quantization, and edge device deployment, along with proficiency in cloud technologies. Preferred candidates have extensive experience with TensorFlow, PyTorch, and familiarity with platforms like AWS or Azure. This position addresses critical business needs in the wireless and networking domains, requiring strong problem-solving and teamwork abilities.

Skills

CNN quantization model debugging CPU profiling DDR ML models edge devices wireless LAN networking technologies cloud technologies TensorFlow PyTorch AWS Azure Google Cloud

What you'll do

Develop and optimize AI/ML models for edge devices.
Perform model quantization and debugging for high performance.
Conduct CPU profiling and manage DDR for system optimization.
Implement and deploy ML models on edge devices efficiently.
Develop AI applications using LLM and multi-modal models.
Integrate AI solutions into wireless and networking systems.
Utilize cloud technologies to enhance AI/ML deployment scalability.

What we're looking for

5+ years of AI/ML model development and deployment experience
Expertise in CNNs, quantization, and model debugging
Experience with CPU profiling and DDR management
Strong understanding of ML models on edge devices
Knowledge of wireless LAN and networking technologies
Familiarity with cloud platforms for AI/ML scalability

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