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Principal ML Software Engineer (GPU/Kernel)

AMD

Principal ML Software Engineer (GPU/Kernel)

AMD

Dublin

·

On-site

·

Full-time

·

1mo ago

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.

  • KEY RESPONSIBILITIES

  • 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.

  • Ability to analyze/address potential performance issues and providing necessary fixes

  • Maintaining the quality of the results while providing scalable solutions

  • Effective communication/reporting of technical data with the worldwide team and internal engineering teams. Contributing to technical interactions with AMD customers

  • PREFERRED EXPERIENCE

  • Experience in the state-of-the-art ML models/operators, their mapping on modern parallel compute architectures including GPUs and related compilation technologies

  • Understanding the general performance optimization techniques used in ML workloads, such as operator fusion, quantization

  • Strong C/C++ programming experience and scripting skills (python/shell), being comfortable with both ISA-aware programming and providing necessary abstractions for scalable solutions

  • Effective communication and problem-solving skills

  • ACADEMIC CREDENTIALS

  • 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

AMD

Public

A 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