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

Meta is seeking a talented Software Engineer specializing in Systems ML and SW/HW Co-design to join their Research & Development teams. This role presents an exciting opportunity to work at the intersection of machine learning infrastructure and hardware optimization at one of the world's leading technology companies.

The position focuses on applying cutting-edge AI infrastructure and hardware acceleration techniques to build and optimize intelligent ML systems that enhance Meta's products and user experiences. As a Systems ML Engineer, you'll be responsible for driving large-scale efforts across multiple teams, setting strategic goals, and delivering impact through data-driven analysis.

The ideal candidate will bring specialized experience in machine learning and deep learning domains, particularly in areas such as hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems. You'll need strong programming skills in C/C++ or Python, and a deep understanding of AI infrastructure and high-performance computing.

This role offers significant growth opportunities, including the chance to mentor other engineers and research scientists while improving the quality of engineering work across the broader team. You'll be working on some of the most crucial and exciting problems in the AI infrastructure space, with direct impact on Meta's products and services.

The position comes with competitive compensation, including a salary range of $56,250 to $173,000 per year, plus bonus and equity opportunities. Meta offers a comprehensive benefits package and maintains a strong commitment to diversity, equality, and inclusion in their hiring practices.

Working at Meta's Boston location, you'll be part of a dynamic team pushing the boundaries of AI systems optimization and hardware-software co-design. This role is perfect for someone who is passionate about both the theoretical and practical aspects of machine learning systems and wants to make a significant impact on the future of AI infrastructure at scale.