JobsResearch Scientist, HW/SW Co-Design (PhD)
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Research Scientist, HW/SW Co-Design (PhD)

Meta

Location

Menlo Park, CA

Type

Full-time

Posted

6/2/2026

Compensation

$122,000 - $181,000 a year

PhD Entry-Level
Approval 99%·Filings 6,588·New hires 3,344·
👑 Elite Sponsor
·FY 2025

Job description

Meta is seeking a Research Scientist to join their AI and Systems CoDesign Group, focusing on cutting-edge research at the intersection of Generative AI workload analysis and custom AI accelerator architecture. The role involves pioneering hardware-software co-design efforts, integrating new technologies, and optimizing deep learning kernels for performance and efficiency.

Requirements

  • PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field, or a Master's degree with 3+ years of relevant industry experience
  • Proven research experience in hardware-aware model enablement, performance modeling of AI systems, or prevailing accelerators/silicon architectures
  • Hands-on proficiency with end-to-end AI hardware architecture or on-device mapping algorithm development
  • Theoretical background and practical experience with AI models (e.g., CNNs, Transformers, LLMs, Diffusion Models)
  • Experience in system-level performance analysis, profiling, and benchmarking of AI workloads
  • In-depth experience of Python and experience with at least one major AI framework
  • Track record of publishing research in peer-reviewed venues

Responsibilities

  • Pioneer hardware-software co-design efforts for Meta's custom AI silicon
  • Integrate new silicon and system technologies into Meta’s custom AI accelerator roadmap
  • Build system performance models and simulators to analyze options for Meta's custom datacenter infrastructure
  • Co-optimize deep learning kernels and primitives with hardware architects and internal compiler teams
  • Influence the hardware roadmap of Meta’s custom AI accelerators
  • Architect and implement advanced frameworks and tooling for comparative analyses across diverse system architectures
  • Lead cross-functional initiatives spanning multiple engineering organizations
  • Publish research results in recognized conferences

Benefits

  • Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.

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