Principal Software Engineer, Machine Learning Infrastructure

About the role

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

Responsibilities

• Oversee technical strategy and architecture in ML Inference Platform services
• Design, implement, and scale critical engineering components and services to support ML inference and deployment
• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
• Provide technical direction that influences the entire company

Requirements

• Excellent programming and software design skills, including debugging, performance analysis, and test design
• Proven track record of operating highly-available systems at scale
• Ability to proactively learn new concepts and technology and apply them at work
• Skilled at solving ambiguous problems
• Strong collaboration and mentorship skills

Qualifications

• Bachelors in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 10+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience
• 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization
• Experience in technical leadership/ownership and setting technical direction for engineering projects
• Experience architecting, designing, and developing large scale distributed systems and high-throughput RPC services

Preferred Qualifications

• Advanced degree in a technical field such as computer science
• Experience with cross platform development
• Ability to promote product excellence and collaboration, driving a portfolio of concurrent engineering projects, from short-term critical feature launches to long-term research initiatives
• Ability to create a compelling vision for the future, communicate clearly, and have a collaborative leadership approach
• Experience with Tensorflow, PyTorch, Kubernetes, GPU, LLM inference