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Meta Logo Meta · IT - Software Development

Silicon Engineer

Canada, Toronto Employment contract 124000.00 - 168000.00 CAD / Year · Job Posted July 03, 2026
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Job 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 advanced machine learning accelerators and contribute to modeling these accelerators. Come work and learn alongside our engineers to build "Green" data center accelerators.

Job Responsibility

  • Work on developing Data Center Machine Learning ASIC architecture, algorithms, kernels, 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 kernels needed for the validation of the accelerators

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
  • 6+ years of 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 building custom silicon products

Nice to have

  • Experience in writing and optimizing collective or compute kernels using CUDA or similar programming languages
  • Experience in pre-silicon validation processes
  • Master’s or PhD degree in Electrical Engineering, Computer Engineering or related areas
  • Experience driving power and performance trade-offs
  • Understanding of GPU architectures or other AI accelerator architectures

What we offer

  • bonus
  • equity
  • benefits
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