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Qualcomm

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $184,974–$192,000 / yr
Posted: 61 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $188k

$123k most similar roles pay here $247k

This role pays more than 56% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $188k versus about $180k for comparable roles.

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.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Careers

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As a Senior Embedded and Machine Learning Software Development Engineer, you will join a dynamic team responsible for designing and developing real-time embedded software and firmware for wireless chipsets using 3G, 4G, 5G, AI, and other cutting-edge technologies. Your daily tasks include driver development, integration testing, debugging, and validation in an RTOS environment, as well as on-target development. You will identify and implement tools to enhance the software development process, support customer issues, and contribute to project planning by providing technical specifications and requirements documentation. Additionally, you will work on data collection frameworks for machine learning modeling to optimize system resources and improve embedded software algorithms. This role requires expertise in C/C++, Python, and experience with embedded systems, RTOS, communication protocols, and machine learning techniques.

Skills

C C++ Python RTOS Microcontroller Firmware Communication Protocols Wireless Chipsets AI Data Mining Data Visualization Machine Learning CI/CD

What you'll do

Designs and develops real-time embedded software for wireless chipsets using 3G, 4G, 5G technologies.
Integrates and tests communication protocols in embedded RTOS environments for microcontrollers.
Develops machine learning models to optimize data collection and system resource allocation.
Improves embedded software algorithms through data visualization and analysis techniques.
Creates detailed engineering documentation and technical specifications for intellectual property.

What we're looking for

5+ years of experience in embedded software development for wireless chipsets.
Expertise in developing and debugging real-time embedded systems and RTOS environments.
Proficiency in machine learning modeling and data visualization for system optimization.
Experience with communication protocols including 3G, 4G, 5G technologies.
Strong skills in creating technical specifications and engineering documentation.

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