Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: Job Description Qualcomm Technologies Incorporated (QTI) is seeking to add a talented engineer to the RFMS Product Development (PDTE) team. The RFMS Mixed‑Signal PDTE team is responsible for Pre-silicon DFT Planning, post‑silicon mixed‑signal IP validation, SoC lab bring‑up, characterization, and production enablement. This role focuses on the bring‑up, development, and validation of modem and RF mixed‑signal blocks, ensuring end‑to‑end functionality of the RF transceiver chain. The position is highly hands‑on and lab‑focused, with strong emphasis on debug, automation, data analysis, and test hardware/software development. We are looking for individuals with a passion for lab work, a solid understanding of mixed‑signal systems, and strong scripting and data‑analysis skills, including experience leveraging modern AI‑assisted tools. Key Responsibilities • Post‑silicon bring‑up, validation, and characterization of mixed‑signal and RF IP • Design and execute experiments to characterize performance, remove bias, and extrapolate sample data to broader populations • Development of test hardware and software to support characterization and production enablement • Creation and maintenance of lab automation frameworks using Python, C#, and AI‑assisted tools • Support production IP qualification, yield analysis, and manufacturing enablement • Collaborate with cross‑functional teams including design, validation, and manufacturing Minimum Qualifications • Strong understanding of RF and mixed‑signal block architectures and measurement methodologies • Hands‑on experience with common lab equipment such as: Spectrum analyzers, Oscilloscopes, Logic analyzers • Programming and scripting experience for data analysis and tool development: Python, C#, AI‑assisted tools • Experience with statistical data analysis, including Designing experiments, Bias reduction, Predictive analysis from limited sample sets • Knowledge of mixed‑signal or analog PCB design and debug Preferred Qualifications • Experience working with AI tools, including agentic AI workflows • Background in silicon bring‑up, lab automation, and algorithm / DSP development • Hands‑on experience with advanced lab equipment, such as: High‑speed digitizers, High‑speed serial data analyzer, JTAG debuggers • Experience in one or more of the following: Python, C#, Embedded systems development Education • Bachelor’s degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field (required) • Master’s degree in Electrical / computer engineering, Information Systems, or related field ( Preferred) Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits : $117,800.00 - $176,600.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link . If you would like more information about this role, please contact Qualcomm Careers .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Hardware Engineering
We are looking for individuals with a passion for lab work, a solid understanding of mixed‑signal systems, and strong scripting and data‑analysis skills, including experience leveraging modern AI‑assisted tools.
Post‑silicon bring‑up, validation, and characterization of mixed‑signal and RF IP
Design and execute experiments to characterize performance, remove bias, and extrapolate sample data to broader populations
Development of test hardware and software to support characterization and production enablement
Creation and maintenance of lab automation frameworks using Python, C#, and AI‑assisted tools
Support production IP qualification, yield analysis, and manufacturing enablement
Collaborate with cross‑functional teams including design, validation, and manufacturing
Strong understanding of RF and mixed‑signal block architectures and measurement methodologies
Hands‑on experience with common lab equipment such as: Spectrum analyzers, Oscilloscopes, Logic analyzers
Programming and scripting experience for data analysis and tool development: Python, C#, AI‑assisted tools
Experience with statistical data analysis, including Designing experiments, Bias reduction, Predictive analysis from limited sample sets
Knowledge of mixed‑signal or analog PCB design and debug
Bachelor’s degree in Electrical Engineering, Computer Engineering, Information Systems, or a related field (required)
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
$117,800.00 - $176,600.00

Nice-to-haves

Experience working with AI tools, including agentic AI workflows
Background in silicon bring‑up, lab automation, and algorithm / DSP development
Hands‑on experience with advanced lab equipment, such as: High‑speed digitizers, High‑speed serial data analyzer, JTAG debuggers
Experience in one or more of the following: Python, C#, Embedded systems development
Master’s degree in Electrical / computer engineering, Information Systems, or related field ( Preferred)

Application prep

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