KEY RESPONSIBILITIES
Analyze and optimize the performance of ML models running on AMD GPUs with the ROCm stack
Optimize code across multiple software layers, including PyTorch, vLLM, llama.cpp, and ROCm libraries, in both Python and C++
Work with AMD's architecture specialists to improve future products
Apply a data-driven approach, using profiling and benchmarking, to target optimization efforts
Stay informed of software and hardware trends and innovations, especially in ML models, algorithms, and GPU architecture
Design and develop new groundbreaking AMD technologies
Participate in new ASIC and hardware bring-ups
Debug and fix existing issues, and research alternative, more efficient ways to accomplish the same work
Contribute to upstream open-source projects and develop technical relationships with peers, partners, and open-source communities
Share AI-assisted workflows and best practices across the team to raise overall engineering productivity
Critically evaluate AI-generated code and analysis for correctness and performance before relying on it
PREFERRED EXPERIENCE
Strong programming background, C/C++ and Python preferred
Experience with ML frameworks and inference engines such as PyTorch, vLLM, or llama.cpp
Experience with GPU programming (HIP, CUDA, or Triton) and performance optimization is a plus
Ability to write high-quality code with keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with Linux development
Experience with software development processes and tools such as debuggers, source code control systems (GitHub), and profilers
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
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.
PMTS SOFTWARE DEVELOPMENT ENGINEER
THE ROLE
AMD is looking for a strategic software engineering lead who is passionate about improving the performance of machine learning models on AMD GPUs. You will be a member of a core team of incredibly talented industry specialists. The team optimizes ML inference and training workloads across the ROCm software stack, from frameworks like PyTorch, vLLM, and llama.cpp down to ROCm libraries and GPU kernels. You will work with the very latest hardware and software technology.
THE PERSON
The ideal candidate should be passionate about software engineering and performance optimization, and have the leadership skills to drive sophisticated issues to resolution. They should be comfortable working across multiple layers of the software stack in both Python and C++. They should be able to communicate effectively and work well with different teams across AMD and with open-source communities.
KEY RESPONSIBILITIES
Analyze and optimize the performance of ML models running on AMD GPUs with the ROCm stack
Optimize code across multiple software layers, including PyTorch, vLLM, llama.cpp, and ROCm libraries, in both Python and C++
Work with AMD's architecture specialists to improve future products
Apply a data-driven approach, using profiling and benchmarking, to target optimization efforts
Stay informed of software and hardware trends and innovations, especially in ML models, algorithms, and GPU architecture
Design and develop new groundbreaking AMD technologies
Participate in new ASIC and hardware bring-ups
Debug and fix existing issues, and research alternative, more efficient ways to accomplish the same work
Contribute to upstream open-source projects and develop technical relationships with peers, partners, and open-source communities
Share AI-assisted workflows and best practices across the team to raise overall engineering productivity
Critically evaluate AI-generated code and analysis for correctness and performance before relying on it
PREFERRED EXPERIENCE
Strong programming background, C/C++ and Python preferred
Experience with ML frameworks and inference engines such as PyTorch, vLLM, or llama.cpp
Experience with GPU programming (HIP, CUDA, or Triton) and performance optimization is a plus
Ability to write high-quality code with keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with Linux development
Experience with software development processes and tools such as debuggers, source code control systems (GitHub), and profilers
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
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.
