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Machine Learning ASIC Engineer, Architecture
MetaUnited Statesfull_timeVerifiedPosted 2 Aug 2025
💰 $203,000/yr($142,000/yr – $203,000/yr)
About the role
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.Machine Learning ASIC Engineer, Architecture Responsibilities
US$142,000/year to US$203,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodatio
- 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
- 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
- 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
US$142,000/year to US$203,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodatio
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