POSTED Apr 21

PMTS Neural Rendering | GenAI Software Engineer

at AMDSanta Clara, California

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WHAT YOU DO AT AMD CHANGES EVERYTHING

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. 

AMD together we advance_




THE ROLE:
We are looking for an experienced applied ML researcher to contribute towards inventing and building disruptive technologies to accelerate, augment, and substitute traditional rendering with GenAI for immersive visual experiences for real-time rendering. The role offers the opportunity to influence future innovations and directions for research in GenAI and drive POCs from inception to readiness for delivery into our products.
 
KEY RESPONSIBILITIES:
  • Work with a team of applied researchers to invent and path find new technologies in real-time neural graphics, GenAI, and other ML-accelerated opportunities.
  • Perform STOA research and implement POCs to demonstrate these disruptive technologies. while maintaining a keen focus on low-level hardware and software optimizations. 
  • Create comprehensive datasets to test POCs for quality and performance by integrating hooks into game engines to capture required data.
  • Contribute to writing software architecture specifications to deliver to HW IP architecture, Independent Software Vendors (ISVs), developer relations and developer technology teams to aid deployment to products.
  • Contribute to AMD's intellectual property (IP) portfolio by publishing novel research in top conferences.

PREFERRED EXPERIENCE:

  • Experience developing machine learning (ML) models for immersive visual experiences for real-time rendering in popular frameworks such as PyTorch and TensorFlow, etc.
  • Proficiency in building blocks of GenAI techniques, including diffusion transformers and LRM, etc.
  • Ability to reproduce and iterate on STOA to tailor them to specific applications under consideration.
  • Good understanding of game engines and mechanisms to create custom scenes/datasets.
  • Excellent programming skills in C/C++, as well as scripting languages like Python, etc.
  • Excellent analytical and problem-solving skills with keen attention to detail.
  • Familiarity with Graphics/Compute APIs such as DirectX, OpenGL, Vulkan, and OpenCL, etc. 
  • Knowledge of GPU architecture is a plus.

ACADEMIC CREDENTIALS:

  • PhD, Bachelor or Master of Science degree with emphasis in Computer Science, Computer architecture, or Electrical Engineering with relevant experience preferred.

 

#LI-IA1

#LI-Hybrid




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.

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