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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.
THE ROLE:
Join AMD and help bring cutting-edge AI models to life on AMD GPUs! We’re looking for someone excited about AI and high-performance computing. In this role, you’ll work with the latest hardware and software technologies to make AI models run faster and more efficiently. You’ll be part of a collaborative team that values learning and innovation.
WHO WE’RE LOOKING FOR:
You enjoy solving technical problems and writing code. You are passionate about how AI is deployed on modern GPUs. You have experience with programming in C++ or Python and are comfortable working in a Linux environment. You’re eager to learn, work in a team, and make meaningful contributions.
WHAT YOU’LL DO:
- Help run and improve AI models (like Chatbots, Vision, and Multi Modal systems) on AMD GPUs
- Work with popular AI tools like Py Torch and Tensor Flow to make them faster on AMD GPUs
- Collaborate with open-source communities to share improvements
- Apply good coding practices to build reliable and efficient software
WHAT WILL HELP YOU SUCCEED:
- Basic understanding of GPU computing (HIP, CUDA, or OpenCL is a plus)
- Interest in computer architecture and how hardware works
- Familiarity with AI concepts (Natural Language Processing, Vision, Audio, Recommendations)
- Programming skills in C++, Python, or similar languages
- Ability to debug and test your code
EDUCATION:
Bachelor’s degree in Computer Science, Computer Engineering, or a related field
*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.
THE ROLE:
Join AMD and help bring cutting-edge AI models to life on AMD GPUs! We’re looking for someone excited about AI and high-performance computing. In this role, you’ll work with the latest hardware and software technologies to make AI models run faster and more efficiently. You’ll be part of a collaborative team that values learning and innovation.
WHO WE’RE LOOKING FOR:
You enjoy solving technical problems and writing code. You are passionate about how AI is deployed on modern GPUs. You have experience with programming in C++ or Python and are comfortable working in a Linux environment. You’re eager to learn, work in a team, and make meaningful contributions.
WHAT YOU’LL DO:
- Help run and improve AI models (like Chatbots, Vision, and Multi Modal systems) on AMD GPUs
- Work with popular AI tools like Py Torch and Tensor Flow to make them faster on AMD GPUs
- Collaborate with open-source communities to share improvements
- Apply good coding practices to build reliable and efficient software
WHAT WILL HELP YOU SUCCEED:
- Basic understanding of GPU computing (HIP, CUDA, or OpenCL is a plus)
- Interest in computer architecture and how hardware works
- Familiarity with AI concepts (Natural Language Processing, Vision, Audio, Recommendations)
- Programming skills in C++, Python, or similar languages
- Ability to debug and test your code
EDUCATION:
Bachelor’s degree in Computer Science, Computer Engineering, or a related field
*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
PublicAdvanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company headquartered in Santa Clara, California.
10,001+
Employees
Santa Clara
Headquarters
$240B
Valuation
Reviews
3.7
10 reviews
Work-life balance
2.8
Compensation
3.2
Culture
4.1
Career
3.4
Management
3.8
68%
Recommend to a friend
Pros
Great team culture and spirit
Innovative projects and cutting-edge technology
Supportive management and leadership
Cons
High workload and overwhelming work demands
Work-life balance challenges
High pressure and stressful deadlines
Salary Ranges
6 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$76,430
total per year
Base
$30,572
Stock
$38,215
Bonus
$7,643
$53,501
$99,359
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Interview process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical Interview
5
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
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