Staff Software Engineer, Home Infrastructure

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in C++.
• 5 years of experience designing, building, and operating large-scale ML infrastructure and distributed systems.
• 3 years of experience with software design and architecture and technical leadership.

Nice to haves

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Experience in one or more of the following: Java, Go, Python, Kotlin.
• Experience in performing in-depth "forensics" on distributed systems to root-cause complex failures across multiple languages and frameworks.
• Experience in architecting machine learning pipelines, from data set management to automated model training.
• Ability to drive product evolution through A/B testing and metric analysis.

What you'll be doing

• Lead and mentor an engineering team while maintaining the ability to engage in high-level technical execution as an individual contributor to execute complex projects.
• Architect and re-design Home the platform, specifically building large-scale machine learning infrastructure for model training, evaluation, and seamless product integration.
• Drive platform unification by building easy-to-use Application Programming Interface (APIs) and developer-facing tools that remove friction.
• Build and maintain data processing pipelines to power debugging and analytics, ensuring high engineering quality and minimal operational toil across all systems.
• Identify and resolve systemic bottlenecks in the development lifecycle, implementing metrics and processes that simplify the platform and foster a culture of engineering excellence.

Perks and benefits

• N/A