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Benefits & Perks
•Learning and development stipend
•Wellness benefits
•Parental leave program
•Flexible PTO policy
Required Skills
PyTorch
Airflow
TensorFlow
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
We are recruiting a highly qualified senior engineer to join a team which works at the forefront of the rapidly developing AI field with critical impact on the AMD's AI/ML products including GPUs.
The team's responsibilities include providing scalable and performant solutions for the efficient implementation of ML workloads/operators on the existing and next-generation AMD products, which align with AMD’s software and hardware roadmaps.
THE PERSON
We are looking for an outstanding engineer with a strong background in AI/ML specific architectures to drive scalable and optimized implementation of ML kernels on such architectures.
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KEY RESPONSIBILITIES
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Strong technical and analytical skills for the development and verification of scalable and performant solutions for the existing and emerging ML operators on the target AMD products mentioned above.
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Ability to analyze/address potential performance issues and providing necessary fixes
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Maintaining the quality of the results while providing scalable solutions
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Effective communication/reporting of technical data with the worldwide team and internal engineering teams. Contributing to technical interactions with AMD customers
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PREFERRED EXPERIENCE
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Experience in the state-of-the-art ML models/operators, their mapping on modern parallel compute architectures including GPUs and related compilation technologies
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Understanding the general performance optimization techniques used in ML workloads, such as operator fusion, quantization
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Strong C/C++ programming experience and scripting skills (python/shell), being comfortable with both ISA-aware programming and providing necessary abstractions for scalable solutions
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Effective communication and problem-solving skills
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ACADEMIC CREDENTIALS
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Ph.D. or M.S. or B.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
LOCATIONS
Dublin (Hybrid), Spain, Germany, United Kingdom
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
L2 · Data Analyst L2
0 reports
$76,430
total / year
Base
$30,572
Stock
$38,215
Bonus
$7,643
$53,501
$99,359
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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