Senior AI Infrastructure Architect for Scalable Training

LinkedIn; Sunnyvale (CA); Hybrid; USD 198,000 - 326,000; Full time

Job summary

LinkedIn is seeking a Sr. Staff Software Engineer to advance one of the most scalable AI platforms in the world. The role is based in Mountain View, CA or Bellevue, WA with a hybrid work model and the opportunity to shape cutting-edge AI infrastructure.

You will design and implement high‑performance training and serving systems, collaborate with researchers and engineers, and mentor a fast‑growing team to deliver scalable, observable, and efficient AI solutions.

Qualifications

• BS/BA in Computer Science or related technical field or equivalent technical experience.
• 5+ years of industry experience in software design, development, and algorithm related solutions.
• 5+ years of experience programming in object‑oriented languages such as Python, C++, Java, Go, Rust, Scala.
• 2+ years of experience as an architect, or technical leadership position.
• 5+ years of experience in the industry with leading / building deep learning systems.
• Hands‑on experience developing distributed systems or other large‑scale systems.

Responsibilities

• Owning the technical strategy for broad or complex requirements with insightful and forward‑looking approaches that go beyond the direct team and solve large open‑ended problems.
• Designing, implementing, and optimizing the performance of large‑scale distributed serving or training for personalized recommendation as well as large language models.
• Improving the observability and understandability of various systems with a focus on improving developer productivity and system sustenance.
• Mentoring other engineers, defining our challenging technical culture, and helping to build a fast‑growing team.
• Working closely with the open‑source community to participate and influence cutting edge open‑source projects (e.g., vLLMs, PyTorch, GNNs, DeepSpeed, Huggingface, etc.).
• Functioning as the tech‑lead for several concurrent key initiatives AI Infrastructure and defining the future of AI Platforms.

Skills

Python

C++

Java

Go

Rust

Scala

Education

BS/BA in CS or related field

Tools

Huggingface

Horovod

PyTorch

TensorFlow

DeepSpeed

PyTorch Lightning

Job description

LinkedIn is seeking a Sr. Staff Software Engineer to advance one of the most scalable AI platforms in the world. The role is based in Mountain View, CA or Bellevue, WA with a hybrid work model and the opportunity to shape cutting-edge AI infrastructure.

You will design and implement high‑performance training and serving systems, collaborate with researchers and engineers, and mentor a fast‑growing team to deliver scalable, observable, and efficient AI solutions.