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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

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THE ROLE:

As a member of the GPU Technologies and Engineering team, the GPU Machine Learning Power & Performance Model Architect will be a technical contributor that drives end-to-end delivery of software solutions, directly contributing to, and coordinating implementation and optimization across multiple teams for inference and training of machine learning models. The position will involve interfacing with software and hardware engineering teams to plan, develop and optimize use cases. This is an exciting opportunity to work on the cutting edge of GPU Computing for Machine Learning.

THE PERSON:

A successful candidate will collaborate with software and hardware engineers, bringing a high level of accuracy and attention to detail to their work. They will excel in communication and problem-solving, leveraging these skills to contribute effectively to the team's success. Here are the key skills required for this role:

• Teamwork: Working effectively within a small team. Advocating for technical solutions in a collaborative team environment.
• Communication: Clearly conveying and exchanging ideas with team members.
• Problem-solving: Analyzing and optimizing machine learning models.
• Collaboration: Engaging with engineers from different specializations. Working closely with others to achieve common goals.
• Influence and Persuasion: Convincing others to make strategic decisions.
• Strategic Thinking: Understanding and influencing long-term goals and plans.
• Interpersonal Skills: Building and maintaining relationships with colleagues from different departments.
• Innovation: Coming up with new and creative algorithmic solutions.
• Analytical Thinking: Evaluating and utilizing the strengths of hardware architecture.
• Adaptability: Adjusting to new ideas and approaches to improve performance.
• Critical Thinking: Making informed decisions to enhance machine learning performance.

KEY RESPONSIBLITIES:

• Work with a small team to analyze, implement, and optimize DirectML-TensorFlow and PyTorch for machine learning models

• Collaborate with library, compiler, driver, and hardware engineers to influence strategic decisions to achieve the highest performance for DirectML
• Innovate new algorithmic improvements that exploit the strengths of the hardware architecture to deliver the best possible machine learning performance

PREFERRED EXPERIENCE:

• Experience in Machine Learning and/or GPU programming
• Experience in deep learning frameworks (e.g. TensorFlow, Keras, PyTorch, Caffe, ONNX, etc) and familiarity with CNN/LSTM model architectures
• Knowledge of CPU and GPU architecture, and experience in GPGPU programming technologies

ACADEMIC CREDENTIALS:

• A Bachelor's degree is required. A Bachelor's or Master's degree in Computer Engineering or Electrical Engineering is preferred.

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At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.

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.