AI Models MAD - Model Automation and Dashboarding Engineer

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.

AI Models MAD - Model Automation and Dashboarding Engineer

THE ROLE

AMD is looking for a skilled and motivated software engineer to join the Model Automation and Dashboarding (Framework MAD) team — a group focused on ensuring the reliability, performance, and scalability of AI models running on AMD hardware. As part of this team, you’ll build and maintain tools and infrastructure that automate functional and performance validation of deep learning models across ROCm and GPU platforms. Your contributions will directly impact developer confidence, model portability, and transparent benchmarking for internal teams and the open-source community.

THE PERSON

We are seeking a highly skilled software developer with strong technical expertise in C++, Python, and Linux-based systems, who is passionate about AI/ML development, quality assurance, benchmarking, and automation. The ideal candidate thrives in both collaborative and independent environments, demonstrates excellent problem-solving skills, and takes ownership in defining goals and delivering impactful solutions. Experience with machine learning frameworks, performance dashboards, or automation platforms is a strong plus.

KEY RESPONSIBILITIES

AI Model Enablement & Optimization: Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs. Optimize AI frameworks like PyTorch, TensorFlow, etc., on AMD GPUs in upstream open-source repositories.

Collaboration & Integration: Collaborate with internal GPU library teams and open-source framework maintainers to analyze, optimize, and integrate code changes upstream.

Model Testing & Validation: Build and maintain automated functional and performance testing pipelines for AI models across ROCm-supported hardware using scalable tools.

Benchmarking & Metrics: Develop tools and automation for continuous benchmarking and regression tracking across hardware generations and ROCm releases. Build and maintain real-time dashboards that report relevant performance, accuracy, and reliability metrics.

Ecosystem & Open-Source Contributions: Support public-facing MAD GitHub repositories and Docker releases, enabling the community to run and validate models on ROCm. Contribute to the design of portable, easy-to-use Python interfaces that support multi-node profiling, distributed workloads, and containerized deployments.

PREFERRED EXPERIENCE

Programming & Tooling: Strong C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Experience in test automation, CI/CD, and Linux scripting.

GPU & AI Knowledge: Knowledge of GPU computing (HIP, CUDA, OpenCL) and AI model experience or knowledge in Natural Language Processing, Vision, Audio, Recommendation systems.

Infrastructure & DevOps: Knowledge of Docker, Kubernetes, or Ansible for testing and deploying AI models and services at scale. Experience with profiling tools, system monitoring, or regression tracking systems for deep learning models.

Software Engineering Practices: Proficiency with version control (GitHub), testing strategies, code reviews, and collaborative software development.

Communication & Ownership: Strong written and verbal communication skills with a proactive approach to defining and driving development efforts.

ACADEMIC CREDENTIALS

Undergraduate and/or Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

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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.