Senior Embedded ML Engineer – Real-Time Wireless Systems

Qualcomm; San Diego (CA); On-site; USD 130,187 - 192,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego, CA is seeking an experienced Senior Embedded and Machine Learning Software Development Engineer to design, develop, test and validate real-time embedded software for wireless chipsets.

You will work on drivers, platforms, and ML-enabled features for 3G/4G/5G, while collaborating across teams to improve software algorithms and resource dimensioning. The role involves data collection and ML modeling to optimize embedded performance, with opportunities to

Qualifications

• Design, integration, test, debugging of real time embedded software in RTOS environments for wireless chipsets.
• Develops platforms and drivers; validates features for 3G/4G/5G and AI-related tech.
• Contributes to data collection framework for data mining, visualization, and ML modeling.

Responsibilities

• Plan, perform and document moderately-defined responsibilities for embedded software development.
• Provide input to project planning and timescales; support customer issues as needed.
• Participate in design reviews and cross-functional project meetings.

Skills

Embedded software

RTOS

Machine learning

Data mining

Debugging

Platform development

Education

Master's degree in Electrical Engineering/Computer Engineering/CS

Tools

C/C++

Job description

Qualcomm Technologies, Inc. in San Diego, CA is seeking an experienced Senior Embedded and Machine Learning Software Development Engineer to design, develop, test and validate real-time embedded software for wireless chipsets.

You will work on drivers, platforms, and ML-enabled features for 3G/4G/5G, while collaborating across teams to improve software algorithms and resource dimensioning. The role involves data collection and ML modeling to optimize embedded performance, with opportunities to