
Inventing the technologies the world loves.
CPU Physical Design Pathfinding Engineer
必备技能
Python
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > CPU Engineering
General Summary:
As a CPU PPA Pathfinding Engineer, you will work with Architecture, RTL, Physical Design, Circuits, CAD and Post-Silicon teams to lead the cutting-edge technology development to be implemented in the next generation CPUs to meet aggressive Power, Area and Performance goals.
Must have skill/experience
-
Experience with Synthesis, place and route and signoff timing/power analysis.
-
Knowledge of high performance and low power implementation techniques
-
Proficiency in scripting (TCL, Python, Perl)
Preferred qualifications
-
MS degree in Electrical Engineering with 14+ years of practical experience.
-
Preference for experience in deep submicron process technology nodes.
-
Experience in CPU PPA optimization is advantageous.
-
Knowledge of library cells and optimizations.
-
Solid understanding of industry-standard tools for synthesis, place & route, and tapeout flows.
-
Strong data analytical skills to identify and address physical design issues.
-
Experience in pre-post silicon correlation
Roles and Responsibilities:
-
Collaborate with cross-functional teams (RTL, Physical Design, Circuits, CAD) to address critical physical design challenges in CPU implementations.
-
Develop innovative techniques within Physical Design and optimization space to meet stringent PPA targets.
-
Coordinate with CPU Software, Architecture, and RTL teams to understand various CPU use cases and propose impactful PPA optimizations.
-
Engage with external CAD tool vendors and internal CAD teams to identify and enhance optimization issues related to CPU designs.
-
Partner with all block-level implementation teams to analyze, implement, and improve optimization methods relevant to the designs.
-
Partner with Process, SoC and Post-silicon teams to analyze, improve design implementations
Minimum Qualifications:
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field and 8+ 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 7+ 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 6+ 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:
$211,900.00 - $317,900.00
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 – 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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关于Qualcomm

Qualcomm
PublicInventing the technologies the world loves.
10,001+
员工数
San Diego
总部位置
$136B
企业估值
评价
3条评价
3.0
3条评价
工作生活平衡
3.0
薪酬
2.0
企业文化
2.5
职业发展
3.5
管理层
2.0
45%
推荐率
优点
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
缺点
Low compensation compared to market rates
Poor communication from employees
No benefits provided
薪资范围
21个数据点
Junior/L3
Junior/L3 · Data Scientist
0份报告
$196,000
年薪总额
基本工资
$150,000
股票
$33,000
奖金
$13,000
$166,600
$225,400
面试评价
8条评价
难度
2.8
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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