Graphics Research Engineer

Overview :

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom 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, youll discover the real differentiator is our culture. We push the limits of innovation to solve the worlds most important challengesstriving 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.

Responsibilities :

Graphics Research Engineer (AI / ML)

THE ROLE :

AMD is looking for a strategic ML Research engineer who is passionate about creating new experiences with GPU rendering. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology to push the boundaries of what is possible in rendering

More about the ARR team : Advanced Rendering Research Group - AMD GPUOpen

THE PERSON :

The ideal candidate should be passionate about Machine Learning, Graphics and software engineering and possess skills to drive innovation and research, able to communicate effectively and work optimally with different teams across AMD. Person will be part of the Advanced Rendering Research team and has the following :

KEY RESPONSIBILITIES :

• Expertise in Machine Learning, particularly focused on Model Creation and Model Architecture, including advanced techniques such as deep learning, reinforcement learning, and generative models.
• Proficiency in 3D graphics and Ray tracing using GPU Compute and Graphics APIs like Direct3D, Vulkan, OpenGL, OpenCL, CUDA
• Expertise in either Diffusion or Generative Transformer based LLM models
• Strong proficiency in Python programming for implementing machine learning algorithms, data preprocessing, and model evaluation.
• Comprehensive understanding of general software development workflows, including version control systems like Git, environment management tools like docker, conda, and continuous integration (CI) pipelines.
• Proficient in English, with excellent written and verbal communication skills for collaborating with team members and presenting findings or proposals.
• Collaborate with cross-functional teams including data scientists, engineers, and domain experts to understand requirements, develop prototypes, and deploy production-ready machine learning solutions.
• Research and stay up-to-date with the latest advancements in machine learning algorithms, frameworks, and tools, incorporating best practices into model development and architecture design.
• Optimize machine learning models for deployment on various platforms including cloud infrastructure, edge devices, and embedded systems, balancing performance, resource constraints, and scalability requirements.
• Conduct thorough experiments and evaluations to assess model performance, reliability, and robustness, employing techniques such as hyperparameter tuning, cross-validation, and A / B testing.
• Document code, methodologies, and findings comprehensively, ensuring reproducibility and knowledge sharing within the team and across the organization.

PREFERRED EXPERIENCE :

ACADEMIC CREDENTIALS :

#LI-RA1

#LI-REMOTE

Qualifications :

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.