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 PERSON:
You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong organization, and attention to detail. With a keen interest in data, you will draw on your strong technical background, analytical capabilities, and interpersonal skills to drive process improvements, improve program operations, and engage with key partners at all levels, from driving technical discussions with developers through to communication with executives.
KEY RESPONSIBILITIES:
- As a TPM in this group, you will not just track schedules; you will be an active technical partner. You will facilitate architectural decision-making, assist with the triage and debugging of complex issues, and translate intricate technical requirements for diverse stakeholders ranging from kernel engineers to executive leadership. You will operate at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI), ensuring our math libraries deliver world-class performance on AMD Instinct™ and AMD Radeon™ accelerators.
- Program Execution & Delivery: Drive the end-to-end lifecycle of the ROCm Libraries including release planning, roadmap definition, and execution for Libraries such as rocBLAS, hipBLASLt, and other Libraries as required.
- Compiler & Code Gen: Facilitate discussions on code generation strategies (e.g., auto-tuning kernels) and optimizations at the Intermediate Representation (IR) level to maximize hardware utilization.
- Technical Triage & Debugging: Actively participate in the triage process for software defects. Leverage your technical background to help engineers prioritize bugs, understand root causes (whether in the library or the compiler backend), and unblock critical paths.
- Architectural Decision Support: Facilitate technical discussions between software architects, research teams, and silicon engineers. Help drive consensus on API designs and optimization strategies for new hardware generations.
- Stakeholder Management: Translate complex technical requirements and status updates into clear, actionable communications. Bridge the gap between technical engineering teams and management.
Components you will support will include, but are not limited to:
- rocBLAS: The foundational BLAS library implemented in HIP C++ and optimized for AMD GPUs, covering Level-1, Level-2, and Level-3 linear algebra operations.
- hipBLASLt: A high-performance library providing flexible General Matrix-Matrix (GEMM) operations, essential for modern AI/ML workloads that require functionality beyond traditional BLAS (e.g., fusion, post-processing).
- hipSPARSELt: A sparse marshalling library that enables high-performance sparse matrix operations on AMD discrete GPUs, critical for optimizing memory bandwidth in large-scale AI models.
PREFERRED EXPERIENCE:
- Program Management: 5+ years of experience in Technical Program Management, Engineering Management, or as a Senior Software Engineer with leadership responsibilities.
- Compiler & Architecture Knowledge: Experience working with or managing projects involving compiler technologies (e.g., LLVM, GCC, Open64).
- Understanding of Code Generation techniques, JIT compilation, or Intermediate Representations (IR) (e.g., MLIR, LLVM IR) and how they impact library performance.
- GPU & HPC Domain: Deep understanding of GPU computing (AMD ROCm, CUDA, or OpenCL).
- Familiarity with High-Performance Computing (HPC) and Artificial Intelligence (AI) workloads.
- Knowledge of linear algebra concepts (GEMM, Sparse Matrices, Tensor operations).
- Technical Literacy: Ability to read and understand technical documentation, bug reports, and basic code structures (C++, Python, Assembly/ISA familiarity is a plus).
- Process & Tools: Proficiency with Agile/Scrum methodologies and tools like Jira, Confluence, and GitHub.
- Library Development: Hands-on experience developing or managing math libraries (BLAS, FFT, LAPACK) or similar performance-critical software.
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or equivalent strongly preferred
- Certifications such as the PMP or agile certification would be an asset
THE ROLE:
Join the team building BLAS and GEMM libraries that powers the world's most important AI and HPC workloads. You will work at the intersection of numerical linear algebra and cutting edge GPU architectures, on the foundational component of both modern AI systems and the world's most powerful supercomputers.
THE PERSON:
You should be passionate about software engineering, communicate effectively, and be ready to learn. We are looking for someone empirically minded, with strong foundational software skills, and who is comfortable working at the interface between hardware and software.
KEY RESPONSIBILITIES:
- Design and develop new AMD software technologies.
- Participate in bringing new GPU products to market.
- Enhancing our existing software to take advantage of new hardware capabilities.
- Debug and fix defects in our existing products.
- Work with AMD’s architecture specialists to improve future products.
PREFERRED EXPERIENCE:
- 5+ years of professional software development experience.
- Experience with modern software development practices and tools.
- Proficiency in C/C++ and Python.
- Experience with GPU programming using HIP, CUDA, or other similar programming models; or with other concurrent or parallel architectures.df
- Experience with low-level programming and code micro-optimization.
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.
THE PERSON:
You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong organization, and attention to detail. With a keen interest in data, you will draw on your strong technical background, analytical capabilities, and interpersonal skills to drive process improvements, improve program operations, and engage with key partners at all levels, from driving technical discussions with developers through to communication with executives.
KEY RESPONSIBILITIES:
- As a TPM in this group, you will not just track schedules; you will be an active technical partner. You will facilitate architectural decision-making, assist with the triage and debugging of complex issues, and translate intricate technical requirements for diverse stakeholders ranging from kernel engineers to executive leadership. You will operate at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI), ensuring our math libraries deliver world-class performance on AMD Instinct™ and AMD Radeon™ accelerators.
- Program Execution & Delivery: Drive the end-to-end lifecycle of the ROCm Libraries including release planning, roadmap definition, and execution for Libraries such as rocBLAS, hipBLASLt, and other Libraries as required.
- Compiler & Code Gen: Facilitate discussions on code generation strategies (e.g., auto-tuning kernels) and optimizations at the Intermediate Representation (IR) level to maximize hardware utilization.
- Technical Triage & Debugging: Actively participate in the triage process for software defects. Leverage your technical background to help engineers prioritize bugs, understand root causes (whether in the library or the compiler backend), and unblock critical paths.
- Architectural Decision Support: Facilitate technical discussions between software architects, research teams, and silicon engineers. Help drive consensus on API designs and optimization strategies for new hardware generations.
- Stakeholder Management: Translate complex technical requirements and status updates into clear, actionable communications. Bridge the gap between technical engineering teams and management.
Components you will support will include, but are not limited to:
- rocBLAS: The foundational BLAS library implemented in HIP C++ and optimized for AMD GPUs, covering Level-1, Level-2, and Level-3 linear algebra operations.
- hipBLASLt: A high-performance library providing flexible General Matrix-Matrix (GEMM) operations, essential for modern AI/ML workloads that require functionality beyond traditional BLAS (e.g., fusion, post-processing).
- hipSPARSELt: A sparse marshalling library that enables high-performance sparse matrix operations on AMD discrete GPUs, critical for optimizing memory bandwidth in large-scale AI models.
PREFERRED EXPERIENCE:
- Program Management: 5+ years of experience in Technical Program Management, Engineering Management, or as a Senior Software Engineer with leadership responsibilities.
- Compiler & Architecture Knowledge: Experience working with or managing projects involving compiler technologies (e.g., LLVM, GCC, Open64).
- Understanding of Code Generation techniques, JIT compilation, or Intermediate Representations (IR) (e.g., MLIR, LLVM IR) and how they impact library performance.
- GPU & HPC Domain: Deep understanding of GPU computing (AMD ROCm, CUDA, or OpenCL).
- Familiarity with High-Performance Computing (HPC) and Artificial Intelligence (AI) workloads.
- Knowledge of linear algebra concepts (GEMM, Sparse Matrices, Tensor operations).
- Technical Literacy: Ability to read and understand technical documentation, bug reports, and basic code structures (C++, Python, Assembly/ISA familiarity is a plus).
- Process & Tools: Proficiency with Agile/Scrum methodologies and tools like Jira, Confluence, and GitHub.
- Library Development: Hands-on experience developing or managing math libraries (BLAS, FFT, LAPACK) or similar performance-critical software.
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Mathematics, or equivalent strongly preferred
- Certifications such as the PMP or agile certification would be an asset
THE ROLE:
Join the team building BLAS and GEMM libraries that powers the world's most important AI and HPC workloads. You will work at the intersection of numerical linear algebra and cutting edge GPU architectures, on the foundational component of both modern AI systems and the world's most powerful supercomputers.
THE PERSON:
You should be passionate about software engineering, communicate effectively, and be ready to learn. We are looking for someone empirically minded, with strong foundational software skills, and who is comfortable working at the interface between hardware and software.
KEY RESPONSIBILITIES:
- Design and develop new AMD software technologies.
- Participate in bringing new GPU products to market.
- Enhancing our existing software to take advantage of new hardware capabilities.
- Debug and fix defects in our existing products.
- Work with AMD’s architecture specialists to improve future products.
PREFERRED EXPERIENCE:
- 5+ years of professional software development experience.
- Experience with modern software development practices and tools.
- Proficiency in C/C++ and Python.
- Experience with GPU programming using HIP, CUDA, or other similar programming models; or with other concurrent or parallel architectures.df
- Experience with low-level programming and code micro-optimization.
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.