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Home›Jobs›Meta (Facebook)›Technical Program Manager, AI Accelerator Software
Meta (Facebook)

About Meta (Facebook)

Connecting people through innovative technology

Key Highlights

  • Over 2.9 billion monthly active users across platforms
  • Headquartered in Menlo Park, California
  • Valued at over $800 billion
  • Significant investments in Oculus and AR/VR technology

Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...

🎁 Benefits

Meta offers competitive salaries, equity compensation, generous PTO policies, comprehensive health benefits, and a robust parental leave program. Empl...

🌟 Culture

Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

🌐 WebsiteAll 1045 jobs →
Meta (Facebook)

Technical Program Manager, AI Accelerator Software

Meta (Facebook) • Menlo Park, CA

Posted 2 months ago🏛️ On-SiteMid-LevelTechnical program manager📍 Menlo park
Apply Now →

Job Description

Meta is seeking a Technical Program Manager (TPM) experienced in managing software and software + hardware programs based on AI Accelerator technologies. This position will work with cross-functional teams in Meta’s Infrastructure organization to enable Meta’s AI applications and use cases on new AI hardware platforms and large-scale AI clusters. This position would focus on synthesizing and communicating user and customer-team requirements, architecting the right middleware stack, leading software design and software enablement efforts, and ultimately on achieving effective deployment of complex AI training and inference workloads across a set of AI platforms. In close collaboration with engineering and cross functional partners this person will lead programs aligned with key business priorities. On a day to day basis this will involve identifying problems that need to be solved, developing solutions, technical troubleshooting, creating roadmaps and other collateral, defining milestones, quantifying success metrics, driving technical program execution, and communicating with a broad set of stakeholders. They will work most closely with Software Development teams in Infrastructure including the PyTorch framework team and hardware specific software teams as well as more broadly with Infrastructure Hardware, Capacity Planning, Data Center, Network Infrastructure and Infrastructure Silicon and Systems organizations. Meta’s Infrastructure Engineering organization is ultimately responsible for the growth, management and 24x7 upkeep of all Meta’s products and services.

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