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 acceleratorsResponsible for the architecture and micro-architecture specification developmentAccountable for performance estimation and modeling of AI workloadsCollaborate 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 workloadsExperience on hardware and RTL implementation (System Verilog) is a big plusKnowledge in compiler design and machine learning compiler optimizationsStrong communication, influence and negotiation skills and the ability to work collaboratively within a teamPreferred Skills:Ability to understand and solve problems leveraging cross-stack optimizations from algorithms to siliconExperience 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:

4 - 7 Years

Work Experience:

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

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.