
Inventing the technologies the world loves.
RF/Analog Design Functional Modeling and Verification Engineer
필수 스킬
Python
PyTorch
TensorFlow
Machine Learning
Company:
Qualcomm Canada ULC:
Job Area:
Engineering Group, Engineering Group > ASICS Engineering
General Summary:
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. New Position
Required:
2+ 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.
- 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 System Verilog, 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 Tensor Flow, Py Torch, 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:
- 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 2+ years of ASIC design, verification, validation, integration, or related work experience. OR
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
Applicants: 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).
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.
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.
Pay range and Other Compensation & Benefits:
$104,900.00 - $154,900.00
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.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcomm 소개

Qualcomm
PublicInventing the technologies the world loves.
10,001+
직원 수
San Diego
본사 위치
$136B
기업 가치
리뷰
3개 리뷰
3.0
3개 리뷰
워라밸
3.0
보상
2.0
문화
2.5
커리어
3.5
경영진
2.0
45%
지인 추천률
장점
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
단점
Low compensation compared to market rates
Poor communication from employees
No benefits provided
연봉 정보
21개 데이터
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Junior/L3 · Data Scientist
0개 리포트
$196,000
총 연봉
기본급
$150,000
주식
$33,000
보너스
$13,000
$166,600
$225,400
면접 후기
후기 8개
난이도
2.8
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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