Software Engineer, Infrastructure

Meta is seeking a Staff Software Engineer to join their MRS ML Infrastructure team, focusing on ML infrastructure performance and efficiency for large-scale AI training and inference workflows in the recommendation domain. This role offers an exciting opportunity to work at the intersection of distributed systems, model/system co-design, and GPU optimizations.

The position involves optimizing the end-to-end stack for model training and inference for large-scale recommendation models. You'll be responsible for identifying and leading the execution of short/mid-term efficiency optimization opportunities while also driving long-term strategies for model/system co-design, performance automation, and regression detection.

As a senior technical leader, you'll guide other engineers, drive cross-functional collaborations, and shape the team's technical direction. The role requires deep expertise in large-scale infrastructure applications, performance optimization, and a strong track record of technical leadership.

Meta offers an innovative environment where you'll work on technologies that connect billions of people through platforms like Facebook, Instagram, and WhatsApp. The company is also pushing boundaries in AR/VR technology, making this an exciting opportunity to impact the future of social technology.

The position is based in Singapore and offers comprehensive benefits including medical, dental, and vision insurance, along with Meta's commitment to equal employment opportunity and support for employees with disabilities.