Distinguished Software Engineer, Systems Infrastructure

LinkedIn•Mountain View, CA

13h•Hybrid

About The Position

The Systems and Infrastructure Team is building a next-generation engineering system and infrastructure platform designed to improve engineering leverage across the company and deliver accelerated value to the AI stack. The mission is to re-platform the largest GPU-scale inference and training infrastructure serving hundreds of thousands of GPUs onto a modern, high-velocity engineering foundation. As a Distinguished Engineer, you will help architect and deliver core distributed systems primitives including scalable Kubernetes scheduling, metadata storage, model serving control planes, observability, and global routing — all built to run at massive scale on cloud infrastructure. This role sits at the intersection of infrastructure, distributed systems, and AI platforms, an opportunity to shape one of the most leveraged software problems at the company and build systems that will eventually onboard teams across the organization.

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent experience
10+ years of relevant work experience
Experience leading technical projects with multiple stakeholders

Nice To Haves

Masters in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience
15+ years experience in building infrastructure at scale, with at least 5 of those years in a technical leadership position
Experience building large scale infrastructure, distributed systems, and AI Platforms
Experience in leading large scale development projects from concept to multiple releases in production
Experience of technical leadership guiding and mentoring engineering and operations talent
Experience leading high-impact, cross-company initiatives

Responsibilities

Drive the engineering systems vision spanning hermetic builds (Bazel), continuous deployment, cryptographic supply chain integrity, infrastructure-as-code, and identity/security, with a goal of enabling AI-native developer productivity.
Partner directly with senior engineering leaders across LinkedIn to define technical strategy, set the quality bar, and drive execution from early prototyping through full production migration of mission-critical AI workloads.
Help define business strategy and technical strategy and drive alignment cross functionally.
Head cross team/cross functional discussions and drive alignment on technology strategy.
Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
Establish a culture that values diverse viewpoints while navigating complex decisions.