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Software Engineer, Systems ML - SW/HW Co-design

Meta builds technologies that help people connect, find communities, and grow businesses, including Facebook, Messenger, Instagram, WhatsApp, and working on AR/VR experiences.
$85,100 - $251,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Software Engineer, Systems ML - SW/HW Co-design

Meta is seeking an experienced AI Software Engineer to join their Research & Development teams, focusing on Systems ML and SW/HW co-design. This role combines cutting-edge AI infrastructure work with hardware acceleration to optimize intelligent ML systems that power Meta's products. The position offers opportunities to work on crucial challenges in AI infrastructure, requiring expertise in hardware accelerators, GPU architecture, ML compilers, and system optimization.

The role involves significant technical leadership, where you'll drive large cross-team initiatives and mentor other engineers. You'll be responsible for developing methodologies and benchmarks to evaluate different approaches, while applying deep knowledge of ML infrastructure interactions with other systems. The work directly impacts Meta's AI capabilities across their family of apps and future technologies.

Meta offers a competitive compensation package ranging from $85,100 to $251,000 annually, plus bonus, equity, and comprehensive benefits. The position is available in both Menlo Park, CA and New York, NY, offering the opportunity to work at one of tech's most influential companies. You'll be part of Meta's mission to build the next evolution in social technology, moving beyond traditional screens toward immersive experiences in AR and VR.

The ideal candidate will have a strong background in computer science or engineering, with specialized experience in ML systems, hardware acceleration, and AI infrastructure. This role presents an excellent opportunity for those passionate about the intersection of machine learning and systems engineering, offering the chance to work on large-scale AI applications that impact billions of users worldwide.

Last updated a month ago

Responsibilities For Software Engineer, Systems ML - SW/HW Co-design

  • Apply AI infrastructure and hardware acceleration techniques to build & optimize ML systems
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks
  • Apply in-depth knowledge of ML infrastructure interactions
  • Mentor other engineers / research scientists
  • Improve the quality of engineering work in the broader team

Requirements For Software Engineer, Systems ML - SW/HW Co-design

Python
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Specialized experience in machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, ML systems, AI infrastructure, high performance computing
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Benefits For Software Engineer, Systems ML - SW/HW Co-design

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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