Jobs
Benefits & Perks
•Wellness benefits
•Learning and development stipend
•Health, dental, and vision coverage
•Parental leave program
Required Skills
Python
TensorFlow
PyTorch
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 PERSON:
You have strong technical and analytical skills in C/C++/Python for AI development in Windows and Linux environments, with some knowledge of GPU programming and compilers. You are a capable problem solver who can work independently and collaborate effectively with peers. You possess good communication skills and are enthusiastic about AI technologies, motivated to deliver efficient, feature-rich solutions to customers.
THE ROLE: We are looking for an experienced Machine Learning Software Engineer to join the AMD GPU Technology and Engineering Software Team. You will contribute to developing AMD’s latest AI software technologies, working with cross-functional teams to optimize the AI software stack and deliver solutions across AMD Radeon and Ryzen product families.
KEY RESPONSIBILITIES:
- Implement and optimize AI software solutions for AMD customers.
- Enable and tune software stacks for frameworks like ONNX and Py Torch, as well as emerging open-source AI tools.
- Integrate and validate new state-of-the-art AI models, improving performance and efficiency.
- Participate in end-to-end development: feature scoping, implementation, integration, and verification.
PREFERRED EXPERIENCE:
- Strong cross-platform software development experience and deep programming skills in C/C++ and Python.
- Excellent problem-solving and effective communication skills.
- Development experience on CONV, GEMM, and/or non-linear operators; GPU acceleration experience with compiler and low-level GPU programming is a plus.
- Familiarity with AI frameworks and inference stacks.
- Solid understanding of AI and ML concepts and performance implications on AI acceleration of different compute, memory, and communication configurations.
- Open-source software development experience is a plus.
ACADEMIC CREDENTIALS:
- Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields.
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 · Data Scientist L2
0 reports
$104,000
total / year
Base
$41,600
Stock
$52,000
Bonus
$10,400
$72,800
$135,200
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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