ASIC Architecture, Kernel Development at Meta

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

209000.0

Posted On

25 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ASIC Architecture, Kernel Development, Machine Learning, Silicon Modeling, Performance Architecture, C, C++, Python, Computer Architecture, Custom Silicon, CUDA, GPU Architectures, Pre-silicon Validation, API Design, Device Driver Development, Library Implementation

Industry

Software Development

Description

Meta is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. By holding this role, you will be an integral member of an ASIC team to build accelerators for some of our top workloads enabling our data centers to scale efficiently. You will have an opportunity to work with AI/ML and video codec experts in the company, help architect state-of-the art machine learning accelerators and contribute to modeling these accelerators. Come work and learn alongside our engineers to build “Green” data center accelerators. Responsibilities Work on developing Data Center Machine Learning ASIC architecture, algorithms, models, or tools Analyze and map data center workloads to ASIC architecture, as well as develop performance and functional models to validate the architecture Implement various reference silicon architecture models needed for the validation of the accelerators Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ experience in either silicon architecture, silicon modeling, performance architecture, kernel development, or building tools for silicon Programming in C, C++, Python, or related Programming Languages Experience and knowledge of Computer Architecture, or tools for silicon development Experience and knowledge working in building custom silicon Preferred Qualifications Master’s or PhD degree in Electrical Engineering, Computer Engineering or related areas Experience driving power and performance trade-offs Experience in developing and optimizing compute or collective kernels using CUDA or similar programming languages Understanding of GPU architectures or other AI accelerator architectures Experience in pre-silicon validation processes Experience with runtime development, API design, device driver development, and library implementation $146,000/year to $209,000/year + bonus + equity + benefits

Responsibilities

Develop Data Center Machine Learning ASIC architecture and validate it through performance and functional models. Implement reference silicon architecture models for accelerator validation.