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AI Agent Engineer

AMD

AI Agent Engineer

AMD

Beijing

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Learning and development stipend

Top Tier compensation with equity

Remote work flexibility

Flexible PTO policy

Parental leave program

Required Skills

Python

PyTorch

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.

Responsibilities:

  • Build and integrate multi-agent workflows; expose platform capabilities via standard APIs and agent protocols (e.g., MCP/A2A).
  • Improve training reliability (automation, failover, health checks) to keep jobs running through cluster faults.
  • Optimize distributed training performance (parallelism, comms/storage/operator tuning) to improve GPU utilization.
  • Own observability & debugging (logs/metrics/traces, profiling, visualization).

Requirements:

  • Strong software + systems engineering; experience with large-scale/distributed training.

  • Familiar with a multi-agent framework (e.g., CrewAI, Lang Graph) or a training stack (e.g., Megatron/Deep Speed).

  • Proven performance profiling and bottleneck isolation skills.

  • Protocol & security awareness for agent connectivity/governance.

  • Nice to Have

  • SFT/RL fine-tuning experience.

  • End-to-end agent + LLM training pipeline experience.

  • TorchFT (or similar) fault-tolerant training experience.

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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