KEY RESPONSIBILITIES
Architect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
Develop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.
Drive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
Advance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.
Innovate with AI-Assisted Development: Apply AI techniques to create next-generation tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.
PREFERRED EXPERIENCE
Strong C++ skills
Strong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.
Strong analytical/problem-solving skills and pronounced attention to details
Must be a self-starter, and able to independently drive tasks to completion
ACADEMIC CREDENTIALS
Bachelors or Masters degree in electrical or computer engineering
LOCATION: San Jose, California
This role is not eligible for visa sponsorship.
This role is not eligible for visa sponsorship.
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.
THE ROLE
As a senior technical member of the team, you will play a key role in designing, developing, and optimizing high-performance GPU kernels for LLM and other ML models. You will analyze performance bottlenecks and develop architecture-aware optimizations to maximize compute efficiency, memory bandwidth utilization, and overall GPU performance. You will also collaborate closely with GPU architecture, compiler, library, and framework teams to develop scalable solutions and advance GPU performance across current and next-generation platforms.
THE PERSON
The ideal candidate has strong experience in GPU programming, performance analysis and system software development. You will provide technical leadership, guiding teams and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.
KEY RESPONSIBILITIES
Architect and Optimize AI Workloads: Lead the optimization of LLMs, quantized models, and emerging AI workloads for AMD GPU architectures.
Develop High-Performance GPU Kernels: Design, implement, profile, and optimize GPU kernels, with a strong focus on maximizing hardware utilization and application performance.
Drive Performance Analysis: Perform deep performance characterization across compute, memory bandwidth, cache hierarchy, synchronization, kernel scheduling, and execution efficiency to identify and eliminate bottlenecks.
Advance Compiler and Code-Generation Technologies: Develop compiler-level optimizations and code-generation techniques using LLVM, MLIR, and related technologies to achieve portable and scalable GPU performance.
Innovate with AI-Assisted Development: Apply AI techniques to create next-generation tools for code generation, debugging, performance analysis, kernel optimization, and engineering productivity.
PREFERRED EXPERIENCE
Strong C++ skills
Strong understanding of GPU compute, memory hierarchy, cache behavior, synchronization, and performance bottlenecks.
Strong experience developing and optimizing GPU kernels using HIP, CUDA, C/C++, or similar technologies.
Strong analytical/problem-solving skills and pronounced attention to details
Must be a self-starter, and able to independently drive tasks to completion
ACADEMIC CREDENTIALS
Bachelors or Masters degree in electrical or computer engineering
LOCATION: San Jose, California
This role is not eligible for visa sponsorship.
This role is not eligible for visa sponsorship.
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.
