ASIC Engineer, Machine Learning Architecture

Meta Platforms Inc. is seeking an ASIC Engineer, Architecture to join our Infrastructure organization. This organization is responsible for building and maintaining the data centers that host all of our services - Facebook, Instagram, WhatsApp etc. These servers and data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. In 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 experts in the company, to evaluate algorithms, develop functional and performance models and help architect state-of-the-art machine learning ASICs. Come work and learn alongside our expert engineers to build “Green” data center accelerators.ASIC Engineer, Machine Learning Architecture Responsibilities

• Implement and analyze algorithms and architectures targeting Machine Learning SoCs.
• Analyze and map data center workloads to ASIC architecture
• develop performance and functional models at different levels of abstraction to validate the architecture.
• Work with a broad array of cross functional partners in ASIC design, verification, silicon bring-up, firmware and software development to ensure the successful production deployment of the SoCs.
• Implement architecture documentation and other collateral necessary for the use and integration of your designs.

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Currently has, or is in the process of obtaining a Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Computer architecture coursework that has covered concepts such as microprocessor architecture, memory systems and on-chip interconnection networks.
• 2+ years of experience with programming skills in C, C++, Python or other Object Oriented Programming Language.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Experience and knowledge in machine learning architectures and frameworks.
• Experience in analyzing and driving power versus performance trade-offs in ASIC design.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$114,000/year to US$166,000/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.
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