Machine Learning ASIC Engineer, Architecture
Description For Machine Learning ASIC Engineer, Architecture
Meta is seeking a Machine Learning ASIC Engineer to join their Infrastructure organization, focusing on building accelerators for top workloads in their data centers. This role combines cutting-edge machine learning with hardware architecture, working alongside AI/ML and video codec experts to develop state-of-the-art machine learning accelerators.
The position involves developing Data Center Machine Learning ASIC architecture, creating and validating performance models, and implementing reference silicon architectures. You'll be working on "Green" data center accelerators, contributing to Meta's infrastructure efficiency and sustainability goals.
As a senior role requiring 5+ years of experience, you'll need strong expertise in silicon architecture, modeling, and development tools, along with programming skills in languages like C++and Python. The role offers competitive compensation ($142,000-$203,000) plus bonus and equity, reflecting Meta's position as a leading tech company.
Working at Meta means joining a company that's shaping the future of social technology, moving beyond traditional social media into areas like AR and VR. You'll be part of a team that's essential to Meta's infrastructure, helping to build and optimize the hardware that powers their massive-scale operations.
The role is based in Sunnyvale, CA, and offers comprehensive benefits including medical coverage and equity compensation. This is an excellent opportunity for someone passionate about hardware architecture and machine learning to work on challenging problems at scale.
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 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
- Competitive salary
- Bonus
- Equity
- Medical benefits
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