Machine Learning ASIC Engineer, Architecture
Description For Machine Learning ASIC Engineer, Architecture
Meta is seeking an experienced ASIC Engineer to join their Infrastructure organization, focusing on building accelerators for top workloads in their data centers. This role offers a unique opportunity to work with AI/ML and video codec experts while architecting state-of-the-art machine learning accelerators. The position involves developing and validating ASIC architecture, creating performance models, and contributing to "Green" data center accelerators.
The ideal candidate will have strong expertise in silicon architecture and machine learning, with at least 5 years of relevant experience. They will work on critical infrastructure projects that power Meta's innovative services, including Facebook, Instagram, WhatsApp, and their emerging AR/VR technologies.
This role combines hardware engineering with machine learning expertise, offering the chance to impact Meta's infrastructure at scale. The position comes with competitive compensation ($142,000-$203,000/year) plus bonus, equity, and benefits. Located in Sunnyvale, CA, this role provides an opportunity to work with cutting-edge technology while contributing to Meta's mission of connecting people and building the future of social technology.
The role requires strong technical skills in computer architecture, silicon development, and programming languages like C++/Python. The successful candidate will collaborate with expert engineers to develop innovative solutions for data center efficiency and performance optimization.
Responsibilities For Machine Learning ASIC Engineer, Architecture
- Work on developing Data Center Machine Learning ASIC architecture, algorithms, models, and tools
- Analyze and map data center workloads to ASIC architecture
- Develop performance and functional models to validate the architecture
- Implement various reference silicon architecture models needed for the validation of the accelerators
Requirements For Machine Learning ASIC Engineer, Architecture
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 5+ 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
Benefits For Machine Learning ASIC Engineer, Architecture
- bonus
- equity
- benefits
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