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# Principal Software Engineer, Machine Learning Infrastructure

- **Company:** Snap Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $276,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Software Debugging, Distributed Systems, Machine Learning, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Kubernetes, Information Technology, Multiplatform
- **Published:** July 9, 2026
- **Apply:** https://dejobs.org/x/x/FF3047DD6F4C4BF8BC63263EED18CE3D/job/

## About the Role

* 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, * 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 is a plus

## Description

* 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


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