GPU ML Performance Architect Job Listing at AMD in Santa Clara, CA (Job ID 64066-en-us)

Description

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. 

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THE ROLE: 

We are looking for a GPU Machine Learning Performance Architect to join GPU architecture team developing Deep Learning GPU kernels for architecture exploration and performance verification

THE PERSON: 

The successful person will be an experienced GPU-compute or graphics programmer with an eye towards hardware-aware performance optimizations. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/time zones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. Good teamwork and interpersonal skills required.  Ability to work independently and within complementary teams.  Demonstrate flexibility, strong motivation and a proven track record of meeting results-oriented deadlines.

KEY RESPONSIBILITIES: 

• The ideal candidate will be responsible for writing high performance GPU kernels for Machine Learning applications to run on AMD's next generation GPU.
• They will be porting and optimizing algorithms for new GPU architecture, perform code reviews, authoring detailed documentation related to their work.
• They will play a key role in all phases of GPU architecture development including architecture feature analysis, performance projection, and performance analysis across different platforms.

PREFERRED EXPERIENCE: 

• Strong programming skills in C/C++, HIP, and CUDA
• Extensive experience with machine learning
• Experience with GPU ML runtimes and compilers
• Experience using version control software such as Git
• Strong understanding of GPU architecture
• Knowledge of Parallel-Computing, GPUs, and 3D graphics
• Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks

ACADEMIC CREDENTIALS: 

• Undergrad degree required. Masters or PhD in computer architecture/Electrical Engineering preferred. 

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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.