Mixed Signal SVE Engineer

Company

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group > ASICS Engineering

Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5G's potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.

Qualcomm CDMA Technologies, a.k.a. QCT -  - is the world leader in wireless ICs powering the majority of 3G & 4G devices and is the largest fabless semiconductor in the world.

The Mixed Signal SVE team is looking for a talented engineer to support silicon bring-up and validation of mixed signal IPs such as DDRPHY and Ser Des. In this role, you’ll work closely with cross-functional teams—including PHY Design, Firmware, PTE, and Software—to bring up PHYs and debug complex issues.

• Lead bring-up, debugging, and optimization of DDR/Ser Des PHYs across post-silicon teams.
• Proactively identify and resolve issues to ensure successful product launches.
• Provide post-release support for PHY-related customer issues.
• Develop firmware and execute regression testing.
• Generate clear and detailed test reports and documentation.

• Hands-on experience with DDR/Ser Des test development, debugging, and characterization.
• Proficiency in firmware development and scripting (Python preferred).
• Solid understanding of JEDEC and other electrical/protocol specifications.
• Strong grasp of PHY circuitry fundamentals (DLLs, I/O, calibration).
• Familiarity with signal integrity and probing techniques for memory buses.
• Skilled in using lab instruments (oscilloscopes, spectrum analyzers, logic analyzers, etc.).
• Detail-oriented with a focus on quality and ownership of deliverables.
• Excellent communication skills—both verbal and written.
• Experience with hands‑on lab work, including soldering and system instrumentation.
• Experience applying machine learning or data science techniques to hardware validation or silicon debug.
• Knowledge of statistical modeling and data visualization for large‑scale silicon test datasets.
• Ability to build and maintain automated pipelines for data collection, labeling, and model training.
• Understanding how AI can be used to enhance lab instrumentation workflows and regression analysis.

• Bachelor's degree in Science, Engineering, or related field.

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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,…