AI Software Development 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. THE ROLE: AMD is looking for a senior software engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and enhance AMD’s abilities to deliver the highest quality, industry-leading technologies to market.   THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Model Development & Training Implement, fine-tune, and train deep learning models using frameworks such as PyTorch, TensorFlow, or ONNX. Automate model training and evaluation pipelines for reproducibility and scalability. Model Optimization Apply quantization, pruning, and graph optimization techniques for efficient inference. Analyze and optimize model performance using profiling tools and hardware metrics. Performance Benchmarking Develop and maintain benchmarking suites for model and hardware performance comparison across platforms (GPU, NPU, CPU, etc.). Generate and analyze performance reports to guide optimization strategies. Deployment & Integration Package and deploy AI models into end-to-end applications or SDKs. Integrate AI inference pipelines into production systems, ensuring reliability and scalability. Tooling & Workflow Automation Design and develop internal tools or frameworks to streamline AI training, optimization, and deployment workflows. Contribute to pipelines and reproducible experiment tracking. PREFERRED EXPERIENCE: Experience with heterogeneous computing (CUDA, ROCm, NPU SDKs, etc.). Familiarity with model deployment frameworks (e.g., ONNX, TensorRT, OpenVINO) Experience in building benchmarking or automation tools for AI workflows Understanding of containerization and distributed training (Docker, Kubernetes, etc.). Contribution to open-source AI or ML infrastructure projects is a plus. ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field. #LI-FL1 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.

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: AMD is looking for a senior software engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and enhance AMD’s abilities to deliver the highest quality, industry-leading technologies to market.   THE PERSON: The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for Software engineering development, and is diligent and passionate about Technology. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. KEY RESPONSIBILITIES: Model Development & Training Implement, fine-tune, and train deep learning models using frameworks such as PyTorch, TensorFlow, or ONNX. Automate model training and evaluation pipelines for reproducibility and scalability. Model Optimization Apply quantization, pruning, and graph optimization techniques for efficient inference. Analyze and optimize model performance using profiling tools and hardware metrics. Performance Benchmarking Develop and maintain benchmarking suites for model and hardware performance comparison across platforms (GPU, NPU, CPU, etc.). Generate and analyze performance reports to guide optimization strategies. Deployment & Integration Package and deploy AI models into end-to-end applications or SDKs. Integrate AI inference pipelines into production systems, ensuring reliability and scalability. Tooling & Workflow Automation Design and develop internal tools or frameworks to streamline AI training, optimization, and deployment workflows. Contribute to pipelines and reproducible experiment tracking. PREFERRED EXPERIENCE: Experience with heterogeneous computing (CUDA, ROCm, NPU SDKs, etc.). Familiarity with model deployment frameworks (e.g., ONNX, TensorRT, OpenVINO) Experience in building benchmarking or automation tools for AI workflows Understanding of containerization and distributed training (Docker, Kubernetes, etc.). Contribution to open-source AI or ML infrastructure projects is a plus. ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field. #LI-FL1