AMDSr. Software Development Engineer

任职要求

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 i…

工作职责

THE ROLE: 
AMD is looking for a senior software engineer to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD’s abilities to deliver the highest quality, industry-leading technologies to market.   
 
THE PERSON: 
If you are passionate about AI/ML frameworks, model optimization, and efficient AI deployment on accelerator hardware, this is your opportunity. We are looking for an engineer with strong software development skills, hands-on experience in model compression and low-precision optimization, and the ability to use AI-assisted tools effectively while maintaining strong technical judgment and code quality.You will work with AI researchers, framework engineers, compiler/runtime teams, hardware experts, and customer-facing teams to build robust optimization software for real-world AI workloads across AMD platforms. 
KEY RESPONSIBILITIES: 
- Design, implement, and maintain model optimization features for AI workloads on AMD hardware platforms.- Develop quantization, low-precision, and compression capabilities for CNN, Transformer, LLM, and multimodal models.- Build production-quality Python tools, libraries, APIs, and framework components.- Support training and fine-tuning workflows for optimized models.- Analyze and debug accuracy, latency, memory usage, and deployment tradeoffs.- Collaborate across framework, compiler, runtime, hardware, and application teams. 
PREFERRED EXPERIENCE: 
- Experience in one or more areas: AI/ML frameworks, model optimization, quantization, training workflows, runtime integration, or accelerator-oriented deployment.- Hands-on experience with ML frameworks such as PyTorch, ONNX/ONNX Runtime, or similar.- Strong Python development and debugging skills.- Experience building production-quality tools, libraries, APIs, or framework components.- Solid understanding of CNN, LLM, or multimodal model architectures.- Ability to reason about accuracy, performance, latency, memory footprint, and deployment constraints.- Demonstrated ability to use AI-assisted tools effectively for software development, debugging, technical exploration, and productivity improvement.- Strong software engineering fundamentals and ability to work with geographically distributed teams. 
ACADEMIC CREDENTIALS: 
-BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related technical fields. 
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