Software Engineer - AI Sysml (technical Leadership)

Meta Meta · Big Tech · Sunnyvale, CA +2

Meta is looking for an AI Software Engineer to join their R&D teams, focusing on AI Infrastructure and ML Systems. The role involves applying machine learning techniques to optimize intelligent systems, developing custom architectures, defining use cases, and evaluating approaches. The candidate will also drive technical direction, collaborate with leaders, and mentor engineers. Experience in ML systems, AI algorithms, distributed systems, and responsible AI practices is required, with a preference for C/C++ or Python development.

What you'd actually do

  1. Drive the organization’s goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta’s products and experiences
  2. Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
  3. Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
  4. Apply in depth knowledge of how the machine learning system interacts with the other systems around it
  5. Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap

Skills

Required

  • Experience in driving large cross-functional and industry-wide engineering efforts
  • Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term vision
  • Experience leading projects with industry-wide impact
  • Significant experience in mentoring/influencing engineers across organizations
  • Specialized experience in one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
  • Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python
  • Experience with distributed systems or on-device algorithm development
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Nice to have

  • Vast experience communicating and working across functions to drive solutions
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

What the JD emphasized

  • AI Infrastructure
  • machine learning accelerators
  • high performance computing
  • machine learning compilers
  • GPU architecture
  • machine learning frameworks
  • on-device optimization
  • distributed systems
  • responsible, ethical AI practices
  • agent orchestration

Other signals

  • AI Infrastructure
  • ML Systems
  • GPU architecture
  • distributed systems
  • on-device optimization
  • AI algorithms
  • Responsible AI