GPU Architecture Graduate Intern

Intel is hiring a GPU Architecture Graduate Intern. It pays $106k a year and Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classes it as an internship.
Intel has 842 other open roles on Level.
Posted in the last few days.

AI in this role

Job Details:

Job Description:

The Role and Impact As a Silicon Architecture Graduate Intern, you will contribute to the definition and architecture of cutting-edge silicon solutions, including hardware, firmware, and platform specifications. You will assist in modeling and simulation to analyze performance, power, and feature trade-offs across interconnected subsystems, guiding architectural decisions to meet product goals. In this role, you will collaborate with architects, design engineers, and validation teams to support the early-stage feasibility and specification development of innovative technologies. Business Group You will be part of the Data Center Group (DCG), a global organization dedicated to powering the world's digital infrastructure. The team focuses on developing highly scalable and efficient solutions to support Intel's leadership in advanced computing and data center technologies. Joining this group provides the opportunity to contribute to Intel's broader mission of enabling continued innovation in high-performance computing and data solutions. Key Responsibilities - Assist in defining silicon architecture specifications based on product requirements and feature integration. - Support modeling and simulation tasks to evaluate performance, power, and trade-offs for architectural decisions. - Collaborate with architects, design engineers, and validation teams to ensure feasibility and alignment with product goals. - Contribute to the development of high-level models and tools for architectural analysis. - Explore GPU concepts such as SIMT, parallelism, and cache hierarchies to guide architectural improvements. - Apply programming skills in C, C++, and Python for prototyping and analysis tasks.

Qualifications:

Minimum Qualifications
- Pursuing master's degree in GPU architecture, Computer Engineering, Electrical Engineering or tightly related field.

- Knowledge of GPU architecture concepts, including SIMT, parallelism, and cache hierarchies.
- Proficiency in C, C++, and Python programming.
- Understanding of hardware pipelines and basic RTL design methodologies.

- 3.0 GPA

Preferred Qualifications
- Strong problem-solving and analytical skills to address complex technical challenges.
- Excellent communication and teamwork abilities to thrive in a collaborative environment.
- Enthusiasm to learn and grow within Intel's innovative ecosystem, contributing to impactful technologies.

Ready to launch your career in silicon architecture? Join us to gain hands-on experience, expand your skills, and make an impact in shaping the future of computing technologies.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Folsom

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $105,698.00-105,702.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

How we rate this

GPU Architecture Graduate Intern at Intel rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.