採用
福利厚生
•Remote Work
•Learning
•Unlimited Pto
•Parental Leave
必須スキル
Python
TensorFlow
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: The AI Models and Applications team at AMD is looking for a specialized senior manager who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will lead a core team of incredibly talented specialists and will work with the latest Generative AI algorithm and software technology.
THE PERSON: The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation and is passionate about innovating efficient approaches to enable on AMD devices. You have outstanding people leadership skills to lead, motivate, and guide your team working in a fast-paced organization. Strong ability to communicate effectively and work optimally with different teams across AMD.
Why Join Us?
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Exciting Opportunities: As a Senior Manager for AI Models Software Development, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications.
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Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
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Cutting-edge Technology: Work with state-of-the-art AI algorithm and software technology, enabling you to stay ahead of the curve and drive advancements in AI model development.
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Impactful Work: Your contributions will directly impact the performance and efficiency of AI models, making a significant difference in various industries and applications.
KEY RESPONSIBILITIES:
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Lead a team focusing on research, design, and implement novel methods for efficient Generative AI.
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Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training, model quantization, and acceleration for algorithms on various AMD platform, e.g., GPU/CPU/AIE.
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Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions.
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Work with open-source framework and community (e.g., Pytorch, JAX, Huggingface) to integrate AMD optimized models, libraries and publish training recipes.
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Publish and promote your work within AMD and at external venues.
PREFERRED EXPERIENCE:
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Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like Pytorch/JAX/vLLM/SGLang
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Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing; Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies, low-precision training, model quantization
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Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
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Experience productizing any of the following also a plus: LLMs, Large Multi-modal models, 3D World Model or agentic workflows
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Strong leadership and management skills.
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Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
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Several years of experience in AI, deep learning and related software development, along with experience mentoring and managing high performing teams
ACADEMIC CREDENTIALS: Master’s degree or above; with major in CS, EE, Mathematics, or a related field.
LOCATION: San Jose, CA, or Bellevue, WA. Hybrid options are available.
#HYBRID
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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AMDについて

AMD
PublicAdvanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company headquartered in Santa Clara, California.
10,001+
従業員数
Santa Clara
本社所在地
$240B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.2
企業文化
4.1
キャリア
3.4
経営陣
3.8
68%
友人に勧める
良い点
Great team culture and spirit
Innovative projects and cutting-edge technology
Supportive management and leadership
改善点
High workload and overwhelming work demands
Work-life balance challenges
High pressure and stressful deadlines
給与レンジ
6件のデータ
L2
L3
L4
L5
L6
L2 · Cybersecurity Analyst L2
0件のレポート
$130,000
年収総額
基本給
$52,000
ストック
$65,000
ボーナス
$13,000
$91,000
$169,000
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Technical Interview
5
Offer
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
ニュース&話題
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