招聘

GPU Implementation Engineer(Austin & San Diego)
Austin, Texas, United States of America
·
On-site
·
Full-time
·
3mo ago
必备技能
Python
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > GPU ASICS Engineering
General Summary:
The Design Implementation Engineer will work in Qualcomm's Adreno GPU team and will be responsible for managing all aspect of frontend implementation design challenges and methodology. The successful applicant will integrate, implement and deliver state of the art GPU cores and will be working closely with the microarchitecture and physical design teams to meet very aggressive Power, Performance, and Area (PPA) targets. The successful candidate will possess in-depth understanding of ASIC design flow and the challenges posed by advanced nanometer technologies.
The candidate is expected to be able to demonstrate the following:
- Experience with digital design and RTL synthesis
- Experience with EDA tools such as: Design Compiler, Fusion Compiler, Genus, Innovus, Conformal LEC, Formality, and Prime Time
- Experience with power vector generation and power analysis
- Ability to collaborate with RTL designers to improve power and performance
- Solid scripting skills using Tcl or Python
- Excellent analytical and communication skills, self-motivated
Preferred Skills:
- Knowledge of UPF
- Knowledge of advanced process nodes, e.g. 3 nm and below
- Understanding of GPU microarchitecture
- Experience with leading a high performance team to push aggressive PPA targets is advantageous
Minimum Skills:
- Bachelor’s degree in Electrical/Computer Engineering or related field with 7+ years of direct frontend implementation and physical design work experience
- Master’s degree in Electrical/Computer Engineering or related field with 6+ years of direct frontend implementation and physical design work experience
- PhD in Electrical/Computer Engineering or related field with 5+ years of direct frontend implementation and physical design work experience
- Strong background and experience working with industry standard synthesis and place-and-route tools
- Experience with process technology nodes below 10 nm
Minimum Qualifications:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware 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:
$161,800.00 - $242,600.00
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
3.7
10条评价
工作生活平衡
2.8
薪酬
3.5
企业文化
3.2
职业发展
4.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Great working atmosphere and colleagues
Challenging and interesting projects
缺点
Poor work-life balance
Toxic culture and leadership issues
Increasing pressure and micromanagement
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
面试经验
9次面试
难度
2.6
/ 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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