
Together we advance.
AI Models GPU deployment software Engineer
福利待遇
•股权
•医疗保险
•无限假期
•Learning Budget
必备技能
TensorFlow
Airflow
PyTorch
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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关于AMD

AMD
PublicAdvanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company headquartered in Santa Clara, California.
10,001+
员工数
Santa Clara
总部位置
$240B
企业估值
评价
10条评价
3.7
10条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
4.1
职业发展
3.4
管理层
3.8
68%
推荐率
优点
Great team culture and spirit
Innovative projects and cutting-edge technology
Supportive management and leadership
缺点
High workload and overwhelming demands
Work-life balance challenges
High pressure and stressful deadlines
薪资范围
6个数据点
L2
L6
M3
M4
M5
M6
L3
L4
L5
L2 · Data Scientist L2
0份报告
$104,000
年薪总额
基本工资
$41,600
股票
$52,000
奖金
$10,400
$72,800
$135,200
面试评价
2条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
面试流程
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical Interview
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
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