Staff Software Engineer, Capacity Engineering

Pinterest is seeking a Staff Software Engineer to join their Capacity Engineering team, focusing on managing and optimizing ML infrastructure. This is a highly impactful role at one of the world's largest cloud-native infrastructures, where efficiency is a strategic priority. The position offers direct visibility across Pinterest Engineering and company leadership.

The role involves managing ML hardware capacity, improving infrastructure efficiency, and building profiling capabilities at Pinterest's scale. The ideal candidate should have deep expertise in GPU architectures, ML software stacks, and cloud platforms like AWS. They should be proficient in languages like Python, Java, and C++, with experience in distributed systems and Kubernetes.

Pinterest provides a flexible working environment through their PinFlex program, requiring only 1-2 office visits per quarter. The compensation is highly competitive, ranging from $170,371 to $350,763 USD, plus equity. The company offers comprehensive benefits and emphasizes an inclusive workplace culture.

This position offers an opportunity to work on cutting-edge ML infrastructure, solving complex technical challenges at scale. The role combines technical leadership with hands-on engineering, requiring both deep technical knowledge and excellent communication skills. Pinterest's platform serves millions of users worldwide, making this role crucial for maintaining and optimizing the infrastructure that powers their ML capabilities.

As a Staff Engineer, you'll collaborate with ML Platform, Infrastructure Engineering, and SRE teams, contributing to Pinterest's mission of bringing inspiration to users worldwide. The role requires a balance of technical expertise, leadership skills, and strategic thinking to drive efficiency improvements across Pinterest's ML infrastructure.