Staff Software Engineer, Capacity Engineering
Description For 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 managing one of the largest-scale cloud-native infrastructures globally. The position offers direct visibility across Pinterest Engineering and leadership, making it an excellent opportunity for someone with strong ML Infrastructure expertise.
The role involves managing ML hardware capacity, improving infrastructure efficiency, and developing optimization capabilities at Pinterest's scale. You'll work with cutting-edge technologies including GPU architectures, PyTorch, and Kubernetes while collaborating with ML Platform, Infrastructure Engineering, and SRE teams.
Pinterest offers a flexible working model with hybrid arrangements, requiring in-person collaboration only 1-2 times per quarter. The company provides competitive compensation ($170,371—$350,763 USD) plus equity, and emphasizes an equitable, inclusive workplace.
As part of Pinterest's engineering team, you'll contribute to a platform that serves millions of users worldwide, helping them find creative ideas and inspiration. The company has a strong focus on work-life balance and offers comprehensive benefits. This role provides an excellent opportunity to work on large-scale ML infrastructure while being part of a company that values both technical excellence and workplace diversity.
The ideal candidate will bring deep technical expertise in ML infrastructure, GPU architectures, and distributed systems, combined with strong communication skills and a collaborative mindset. You'll be instrumental in optimizing and scaling Pinterest's ML capabilities while working with some of the most advanced technologies in the field.
Responsibilities For Staff Software Engineer, Capacity Engineering
- Manage the ML hardware capacity that powers the models running at Pinterest
- Improve the efficiency of ML Infrastructure at Pinterest
- Build develop and mature profiling and optimization capabilities for ML Infrastructure at Pinterest scale
- Collaborate with ML Platform, Infrastructure Engineering and SRE teams
Requirements For Staff Software Engineer, Capacity Engineering
- Deep understanding of GPU Architectures, Pytorch, etc.
- Deep understanding of supporting parts of ML software stack like Scheduling, Data and Storage
- Hands on experience with shared platforms like Kubernetes
- Experience building and managing highly available distributed applications at scale
- Proficiency in software development languages such as Java, Python and C++
- Excellent skills in communicating complex technical issues
- Understanding of ML Models, Kernels and optimization opportunities
- Experience with AWS or similar cloud environments
- Deep understanding of infrastructure capacity and performance
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Benefits For Staff Software Engineer, Capacity Engineering
- Equity compensation
- Comprehensive benefits package
