AI Architecture and Modeling Engineer

Key Skills

Aartificial intelligence, Algorithms, Analytical and Problem solving, C Programming, C++, Deep Learning, Design, Effective communication skills, GPUs, Machine learning techniques, Optimization, Python Programming, PyTorch, TensorFlow

Job Description

Think silicon, an Applied Materials' company, is seeking an experienced architect with a strong hardware background to architect and model a highly scalable deep learning accelerator for our next-generation GPUs and AI Processors. In this role, you will collaborate with cross-functional engineering and product teams to identify and gather requirements and you will partner with eams to model and architect novel accelerators, and systems.

Key Responsibilities:

• Build functional, performance models in C/C++ for AI accelerators
• Responsible for the architecture and micro-architecture specification development
• Accountable for performance estimation and modeling of AI workloads
• Collaborate closely with other key software and hardware architects on architectural pathfinding, definition of system/hardware architectural specification.
• Responsible for conducting sector research on trend and custom requirements for machine learning algorithms and accelerators

Required Skills:

We expect a candidate to have the following skills:

• Strong foundation in computer architecture, micro-architecture design and performance analysis with an emphasis on hardware/software co-design.
• Strong software skills and proficiency in C/C++ and a scripting language such as Python.
• Experience working on performance model development and experimentation (GPU or CPU)
• Knowledge and experience with AI benchmarks and workloads
• Experience on hardware and RTL implementation (System Verilog) is a big plus
• Knowledge in compiler design and machine learning compiler optimizations
• Strong communication, influence and negotiation skills and the ability to work collaboratively within a team

Preferred Skills:

• Ability to understand and solve problems leveraging cross-stack optimizations from algorithms to silicon
• Experience in Deep Learning frameworks like (PyTorch, TensorFlow is a big plus)
• Self-directed, ability to work with minimal supervision

Qualifications

Education: Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience: Up to 1 Year

Work Experience:

Additional Information

Travel: Yes, 20% of the Time

Relocation Eligible: No

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.