채용
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
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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