RF/Analog Design/Functional Modeling and Verification Engineer - AI/ML Enhanced

Overview

Join Qualcomm’s Connectivity functional verification team to drive pre-silicon verification and post-silicon bring-up of high-performance RFICs for Wi-Fi, BT, UWB, FM, GNSS, and IoT applications. This role emphasizes integrating AI/ML into traditional verification workflows to accelerate design cycles and improve quality.

Required for this Role

• Bachelor’s degree in Electrical Engineering with 3+ years of experience in RF/Analog circuit design for wireless products (e.g., LNAs, PLLs) and 4+ years in ASIC design, verification, or related work.
• OR Master’s degree in Electrical Engineering or related field with 4+ years of ASIC design/verification experience.
• OR PhD in Electrical Engineering or related field with 2+ years of ASIC design/verification experience.
• 2+ years of experience using tools such as CADENCE, Virtuoso, ADS.
• 1+ years of experience applying AI/ML techniques to circuit modeling, simulation, or verification workflows.

Responsibilities

• Develop and debug behavioral models for event-driven and mixed-signal simulation based on analog circuit design.
• Create verification plans for radio and IP modules interfacing with SoC.
• Build self-checking test benches and define test coverages and sequences.
• Maintain scripts for netlist release and programming instruction generation.
• Diagnose failed tests and manage bug tracking and resolution.
• Contribute to methodology development, especially in AI/ML-enhanced verification flows.
• Apply ML models to predict boundary values and optimize test coverage early in the design cycle.

Skills/Experience

• Strong understanding of RF-analog and digital logic design.
• Proficient in SystemVerilog, Python, Perl, C-Shell, and Cadence SKILL.
• Experience with Cadence AMS/XCelium tools.
• Familiarity with serial bus interfaces, register controllers, and state machines.
• Knowledge of RF transceiver architectures, PLLs, ADCs, DACs.
• Experience with UVM and functional verification of RF/mixed-signal chips.
• AI/ML Fundamentals: Understanding of supervised/unsupervised learning, neural networks, and ML-based optimization.
• Experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and EDA-specific ML tools.
• Ability to tailor ML models to analog/RF design topologies and verification tasks.
• Experience with Prompt Engineering for AI/ML model interaction and optimization.

Education

Master’s degree or higher in Electrical Engineering, Computer Engineering, or Computer Science preferred. Coursework or thesis in Analog/RF/Mixed-Signal Design and Machine Learning is a strong plus.

Minimum Qualifications

• Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.
• OR Master’s degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience.
• OR PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience.

EEO & Benefits

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. For accommodations, you may email [email protected] or call Qualcomm’s toll-free number as found on the company site. Qualcomm also strives to provide reasonable accommodations to support individuals with disabilities during the hiring process and is committed to an accessible workplace.

Pay range and other compensation: $181,700.00 - $272,500.00. The pay range reflects the broad range for this job code and location. Salary is one component of total compensation, which may include discretionary bonuses and RSU grants. Benefits are designed to support success at work and at home; further details are discussed with your recruiter.

If you would like more information about this role, please contact Qualcomm Careers.