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AI Models GPU deployment software Engineer

AMD

AI Models GPU deployment software Engineer

AMD

Austin

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Remote work flexibility

Flexible PTO policy

Health, dental, and vision coverage

Wellness benefits

Top Tier compensation with equity

Required Skills

SQL

Python

Airflow

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:

AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

THE PERSON:

Strong technical and analytical skills in C++/Python AI development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort.

KEY RESPONSIBILITIES:

  • Enable and optimize key AI models (LLM, Vision, Multi Modal, etc.) on AMD GPUs

  • Optimize AI frameworks like Py Torch, Tensor Flow, etc. on AMD GPUs in upstream open-source repositories

  • Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI

  • Work with open-source framework maintainers to understand their requirements – and have your code changes integrated upstream

  • Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams

  • Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems

  • Apply your knowledge of software engineering best practices

PREFERRED EXPERIENCE:

  • Knowledge of GPU computing (HIP, CUDA, OpenCL)

  • AI model experience or knowledge

  • Natural Language Processing, Vision, Audio, Recommendation systems

  • Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.

  • Experiences to run workloads on large scale heterogeneous cluster is a plus

  • Experiences to optimize GPU kernels for performance is a plus

ACADEMIC CREDENTIALS:

  • Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or 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

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

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