채용
Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•Parental leave
•401(k) matching
•Flexible work arrangements
•Learning
•Equity
•Parental Leave
•Flexible Hours
Required Skills
React
PostgreSQL
Python
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
As an AMD intern/co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.
JOB DETAILS:
- *Location: San Jose, CA or Santa Clara, CA
- *Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- *Duration:
- Summer/Fall Co-op: May 18, 2026 - December 11, 2026 *or June 22, 2026 - December 11, 2026
- Summer Internship: May 18, 2026 - August 7, 2026 *or June 22, 2026 – September 11, 2026
- *Fall Internship: September 14, 2026 – December 11, 2026
WHAT YOU WILL BE DOING:
We are seeking a highly motivatedn AI Models Software Engineering intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –
- *Innovative Research: Work on groundbreaking projects and collaborate with a team of highly skilled industry specialists.
- *Optimize AI Models: Leverage quantization, sparsity, and architecture search methods to optimize and enhance the performance, efficiency, and accuracy of Generative AI models. Unlock the full potential of AI technology and enable groundbreaking solutions.
- *Collaborate with Experts: Work with software engineers, data scientists, and researchers to integrate AI models into software applications and platforms. Learn from the best and work together to achieve seamless integration and optimal performance.
- *Stay Ahead of the Curve: Stay updated with the latest advancements in AI algorithms, frameworks, and technologies. Continuously explore new techniques and approaches to be the benchmark in AI development and optimization technology.
- Research, design, and implement novel methods for efficient Generative AI
- Algorithmic model optimization methods design including quantization, sparsity, NAS, etc
- Publish your work.
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- If you have knowledge/experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
Project experience on generative tasks. Familiar with deep learning frameworks, e.g., Pytorch/JAX/ONNX/Tensor Flow
Project experiences on model compression, quantization, and end-to-end inference optimization
Strong knowledge of artificial intelligence, deep learning or machine learning
Strong coding skills in Python required, C/C++ skills a plus
Skilled in academic paper writing and technical innovation
Additional plus if recent publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc
Skills related to LLMs, stable diffusion, NeRF, or text-to-video generation is a plus
Experience in optimizing and accelerating NLP/Generative AI models is a plus
_Note: _ By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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About AMD

AMD
PublicA semiconductor company that designs and develops graphics units, processors, and media solutions
10,001+
Employees
Santa Clara
Headquarters
Reviews
3.5
25 reviews
Work Life Balance
3.2
Compensation
4.1
Culture
3.6
Career
3.4
Management
3.1
65%
Recommend to a Friend
Pros
Good compensation and benefits
Positive work environment
Great management and coworkers
Cons
Poor work life balance
Micromanagement and excessive tracking
Too much pressure and workload
Salary Ranges
6 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Graphic Designer L2
0 reports
$162,512
total / year
Base
$65,005
Stock
$81,256
Bonus
$16,251
$113,758
$211,266
Interview Experience
5 interviews
Difficulty
3.6
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Hiring Manager Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
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