Staff Software Engineer, Capacity Engineering

Pinterest, a platform where millions find daily inspiration, is seeking a Staff Software Engineer for their Capacity Engineering team. This role focuses on managing and optimizing ML infrastructure, one of the largest cloud-native infrastructures globally. The position is highly impactful, with efficiency being a strategic priority and direct visibility across Pinterest Engineering and leadership.

The role involves managing ML hardware capacity, improving infrastructure efficiency, and developing profiling capabilities at Pinterest's scale. The ideal candidate should have deep expertise in GPU architectures, PyTorch, and ML software stack components, along with strong experience in Kubernetes and cloud environments.

Working in a hybrid model through PinFlex, Pinterest's flexible approach to work, you'll collaborate with ML Platform, Infrastructure Engineering, and SRE teams. The position requires in-person collaboration 1-2 times per quarter, offering flexibility in work location across the country.

Pinterest offers a competitive compensation package ranging from $170,371 to $350,763 USD, plus equity. They maintain a strong commitment to workplace equity and inclusion, making decisions based on merit while considering candidates regardless of background or criminal history.

The role combines technical expertise with strategic thinking, requiring someone who can handle complex infrastructure challenges while contributing to Pinterest's mission of helping people find inspiration and create a life they love. The position offers an opportunity to work on large-scale systems while being part of a positive corner of the internet.