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CPU RTL Methodology Engineer
Santa Clara, California, United States of America
·
On-site
·
Full-time
·
3mo ago
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > CPU Engineering
General Summary:
We are seeking a highly skilled and versatile engineer who thrives at the intersection of RTL design and CAD automation. This role is ideal for someone who understands RTL workflows deeply and can build scalable automation solutions to streamline design and debug processes. You’ll work closely with CPU design teams to support RTL development, triage issues, and enhance productivity through tooling and scripting.
Key Responsibilities
- Define and develop methodologies to build scalable, efficient CPU designs
- Support RTL development and debug workflows across CPU design teams.
- Maintain and enhance RTL databases and repositories using GIT and other version control systems.
- Triage RTL issues and collaborate with design teams to resolve them efficiently.
- Develop and maintain automation scripts and tools (primarily in Python) to improve RTL workflows, verification, and regression systems.
- Interface with CAD teams to align RTL tooling with broader design infrastructure.
- Contribute to continuous integration and build systems for RTL environments.
- Document workflows, tools, and best practices for internal teams.
Required Qualifications
- Strong experience in RTL design (Verilog/System Verilog) and understanding of CPU microarchitecture.
- Solid knowledge of RTL databases and version control systems (GIT).
- Proven ability to triage RTL issues and support design/debug workflows.
- Advanced scripting skills in Python; familiarity with other scripting languages (TCL, Perl, Bash) is a plus.
- Experience with CAD tools and automation frameworks in a hardware design environment.
- Familiarity with CI/CD pipelines and build systems for RTL.
- Excellent problem-solving and communication skills.
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 6+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. OR
Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 5+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
OR
PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field and 4+ years of Hardware Engineering, Software Engineering, Electrical Engineering, Systems Engineering, or related work experience.
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:
$198,700.00 - $298,100.00
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.
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About Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
Employees
San Diego
Headquarters
Reviews
3.6
5 reviews
Work Life Balance
4.0
Compensation
4.0
Culture
2.5
Career
3.0
Management
2.5
Pros
Good work-life balance
Real engineering work with technical challenges
Good compensation
Cons
Slow processes and bureaucracy
Poor management and planning
Cross-team dependencies and alignment issues
Salary Ranges
1 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$215,000
total / year
Base
$170,000
Stock
$30,000
Bonus
$15,000
$182,750
$247,250
Interview Experience
8 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview/Onsite
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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