Senior Engineer GPU Libraries

Job description

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 As a Senior Member of Technical Staff in the GPU Libraries group, the GPU Kernel Engineering role provides technical leadership and strategic support across the AMD Radeon Open Ecosystem (ROCm) ecosystem.

Your experience will be critical in creating and enhancing GPU kernels for deep learning model operations such as normalization and convolution.

You will engage with internal GPU library teams and open-source maintainers to ensure seamless delivery of high quality and performance kernels.

This position requires a deep knowledge of GPU architectures and compiler technologies as well as the use of advanced engineering principles and a continuous improvement approach.

THE PERSON A skilled engineer with strong technical and analytical expertise in C++ development within Linux environments.

The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions.

Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.

KEY RESPONSIBILITIES: Lead collaborative teams across libraries to design, implement, validate, and deliver key software library capabilities, ensuring successful integration with GPU kernels into broader systems.

Validates and provides significant technical input to the software roadmap.

Initiates, influences, and drives architecture, design, and documentation efforts as they arise across teams.

Works closely with principal engineering staff to plan and execute technical governance activities across integrated libraries and engineering teams.

Draft technical designs and approaches that holistically consider constraints, performance, and roadmap commitments.

Self-manage and lead others in technical execution and work to uplift the delivery commitments of colleagues.

Review project scope and seek opportunities to broaden and align work in collaboration with library owners and engineering principal colleagues.

Documents what is known.

Coach and mentor engineering staff according to internal best-practices and as part of the regular software development lifecycle in an agile environment.

Participates in key engineering talent reviews with technical managers.

PREFERRED EXPERIENCE: Extensive and broad hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages e.g. Python, Rust, Go, Javascript.

Knowledge or applied experience with popular AI/ML Frameworks like PyTorch and TensorFlow.

Applied experience with performance engineering and continuous integration for technical and high-performance computing applications.

Experienced with improving build robustness, regression management techniques, and using software deployment and orchestration management systems (Jenkins/Docker/Kubernetes/numerical methods and analysis).

Experience with open-source software development including collaboration with community maintainers and submitting contributions, and leading or implementing various methodologies such as Agile, Scrum, and Kanban or others.

Experience implementing professional software engineering best practices, requirements elicitation and analysis methods, scoping/estimation, coding standards, code reviews, version control, build processes, testing, and continuous integration.

ACADEMIC CREDENTIALS: Advanced degrees, such as M.Sc. or M.Eng.

are preferred LOCATION: Austin, Texas #LI-DR1 #LI-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.THE ROLE As a Senior Member of Technical Staff in the GPU Libraries group, the GPU Kernel Engineering role provides technical leadership and strategic support across the AMD Radeon Open Ecosystem (ROCm) ecosystem.

Your experience will be critical in creating and enhancing GPU kernels for deep learning model operations such as normalization and convolution.

You will engage with internal GPU library teams and open-source maintainers to ensure seamless delivery of high quality and performance kernels.

This position requires a deep knowledge of GPU architectures and compiler technologies as well as the use of advanced engineering principles and a continuous improvement approach.

THE PERSON A skilled engineer with strong technical and analytical expertise in C++ development within Linux environments.

The ideal candidate will thrive in both collaborative team settings and independent work, with the ability to define goals, manage development efforts, and deliver high-quality solutions.

Strong problem-solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential.

KEY RESPONSIBILITIES: Lead collaborative teams across libraries to design, implement, validate, and deliver key software library capabilities, ensuring successful integration with GPU kernels into broader systems.

Validates and provides significant technical input to the software roadmap.

Initiates, influences, and drives architecture, design, and documentation efforts as they arise across teams.

Works closely with principal engineering staff to plan and execute technical governance activities across integrated libraries and engineering teams.

Draft technical designs and approaches that holistically consider constraints, performance, and roadmap commitments.

Self-manage and lead others in technical execution and work to uplift the delivery commitments of colleagues.

Review project scope and seek opportunities to broaden and align work in collaboration with library owners and engineering principal colleagues.

Documents what is known.

Coach and mentor engineering staff according to internal best-practices and as part of the regular software development lifecycle in an agile environment.

Participates in key engineering talent reviews with technical managers.

PREFERRED EXPERIENCE: Extensive and broad hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages e.g. Python, Rust, Go, Javascript.

Knowledge or applied experience with popular AI/ML Frameworks like PyTorch and TensorFlow.

Applied experience with performance engineering and continuous integration for technical and high-performance computing applications.

Experienced with improving build robustness, regression management techniques, and using software deployment and orchestration management systems (Jenkins/Docker/Kubernetes/numerical methods and analysis).

Experience with open-source software development including collaboration with community maintainers and submitting contributions, and leading or implementing various methodologies such as Agile, Scrum, and Kanban or others.

Experience implementing professional software engineering best practices, requirements elicitation and analysis methods, scoping/estimation, coding standards, code reviews, version control, build processes, testing, and continuous integration.

ACADEMIC CREDENTIALS: Advanced degrees, such as M.Sc. or M.Eng.

are preferred LOCATION: Austin, Texas #LI-DR1 #LI-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.

Required Skill Profession

Engineers