Jobs
Company:
Qualcomm Technologies International Ltd:
Job Area:
Engineering Group, Engineering Group > ASICS Engineering
General Summary:
About Us
Cambridge is Qualcomm's largest office in the UK, with about 400 team members including engineers, business strategists and support staff. From an engineering perspective, we have teams focussing on: RF and PMU analog design, digital design & verification, digital physical design, embedded software, packaging and post-silicon validation. Target products include: high performance CPUs and GPUs, ultra-low power IoT devices, and wearables such as smart glasses, smart watches and earbuds.
The GPU Compiler team will be a new team for our Cambridge office and you will be required to be onsite 5 days per week.
Where you will be working
Cambridge, located in the East of England, 50 miles north of London, is a unique and beautiful city, renowned for its world-class university and the thriving cluster of high technology businesses that have grown up around it. Cambridge is well served by road and rail links, and is within easy distance of the major London airports
About the Role
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all.
As a Qualcomm GPU Engineer, you may architect, design, implement, verify, and/or optimize the performance and power of GPU cores. Qualcomm Engineers collaborate with cross-functional teams to meet and exceed customer needs
Principal Duties and Responsibilities will include:
- Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
- Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met.
- Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues.
- Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
- Develops driver and compiler software to support GPU products.
- Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.
Preferred Qualifications:
- Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 5+ years of relevant GPU experience.
What's on Offer
Apart from working in an open, relaxed and collaborative space, you will enjoy:
- Salary, stock and performance related bonus
- Maternity/Paternity Leave
- Employee stock purchase scheme
- Matching pension scheme
- Education Assistance
- Relocation and immigration support
- Life, Medical, Income and Travel Insurance
- Subsidised gym membership
- Bicycle purchase scheme
Minimum Qualifications:
- Bachelor's degree in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. OR
Master's degree in Science, Engineering, or related field and 3+ years of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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.
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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