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ASIC Architecture, Kernel Development

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Meta
Full Time position
Listed on 2026-01-09
Job specializations:
  • Engineering
    Data Engineer, AI Engineer, Systems Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 142000 - 203000 USD Yearly USD 142000.00 203000.00 YEAR
Job Description & How to Apply Below

Summary

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.

Required Skills

ASIC Architecture, Kernel Development Responsibilities:

  • 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
  • Minimum Qualifications
  • 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
  • Preferred Qualifications
  • 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
  • Public Compensation

    $142,000/year to $203,000/year + bonus + equity + benefits

    Industry

    Internet

    Equal Opportunity

    Meta is proud to be an Equal Employment Opportunity and Assertive Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

    We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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