Distinguished Software Engineer - AI Infrastructure

LinkedIn•Mountain View, CA

1d•$248,000 - $406,000•Hybrid

About The Position

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Are you ready to shape the future of LinkedIn’s infrastructure? We're looking for a visionary Distinguished Engineer to join our dynamic AI Infrastructure team. With our focus on search and retrieval systems, inference systems, generative AI, training pipelines, feature engineering, control planes and observability we're critical to every aspect of LinkedIn products and committed to pushing the boundaries of what's possible. As a key member of our team, you will tackle complex technical challenges, design resilient architectures, and develop cutting-edge solutions that enhance LinkedIn’s platform for millions of users worldwide. In this high-impact role, you'll have the opportunity to drive innovation, mentor engineering talent, and represent LinkedIn as a thought leader in the industry. If you have a passion for building scalable, high-performance systems and want to make a significant contribution to a company that values collaboration, growth, and excellence, we’d love to hear from you. Join us to redefine the standards of search, retrieval and ranking infrastructure and deliver exceptional experiences to LinkedIn’s members and customers. LinkedIn is seeking a Distinguished Engineer with deep expertise in Data Infrastructure, Platforms, and AI to provide technical leadership for the Data Infrastructure organization. The Data Infrastructure team delivers the specialized infrastructure required to run LinkedIn’s products, AI training and inference, business metrics and observability with high availability, scale and optimal performance. This leader will leverage their broad infrastructure knowledge to drive innovation, optimize performance, and enable superior user experiences that increase productivity and customer engagement.

Requirements

Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent research experience.
10+ years of experience in software engineering, with a focus on infrastructure, distributed systems, or databases.
Proven track record of technical leadership in building robust, scalable platforms
Demonstrated expertise in designing, implementing, and managing large-scale, distributed systems that are both resilient and scalable.

Nice To Haves

5+ years of experience in a technical or scientific leadership position
Proven ability to lead and mentor engineering teams, fostering a culture of technical excellence, innovation, and collaboration.
Expertise in designing and implementing distributed databases, data, compute and online infrastructure at scale
Experience identifying gaps in current infrastructure, recommending strategic improvements, and driving implementation of cutting-edge solutions to advance the field of AI Infrastructure
Experience leading large-scale development projects from concept to production
Proficiency with AI based development and the use of AI/ML in production systems
Ability to drive cross-company initiatives and influence the evolution of infrastructure systems
Excellent communication skills, with experience mentoring engineering talent and fostering a culture of collaboration and innovation.

Responsibilities

Develop a comprehensive understanding of LinkedIn's infrastructure, particularly focusing on AI Infrastructure, but also partner infrastructure in our Core and AI teams to provide domain expertise and thought leadership.
Lead and facilitate cross-functional technical discussions to align product and technology strategies, emphasizing developer productivity while meeting scale, performance, and efficiency requirements.
Define and drive technical strategies and roadmaps that translate business requirements into robust architecture and technology plans.
Design and build highly scalable, resilient, and distributed systems to support AI Infrastructure objectives
Establish and advocate for best practices, design patterns, and quality standards for AI Engineering
Identify and address gaps in the current infrastructure by recommending and implementing migration strategies for legacy systems
Work closely with AI Infrastructure users to understand user experience and set the vision and technical direction to improve usability
Mentor and guide senior engineering talent, fostering a culture of craftsmanship, innovation, and technical excellence
Help drive an understanding of AI and a culture of AI adoption for development and in our systems
Represent LinkedIn as a thought leader by publishing technical papers, presenting at conferences, and driving industry innovation in AI Infrastructure.
Collaborate with stakeholders to ensure the infrastructure supports LinkedIn's business goals and customer needs.
Drive the adoption of new technologies and methodologies that enhance the performance, reliability, and maintainability of LinkedIn’s infrastructure.
Ensure compliance with security and privacy standards, implementing measures to protect LinkedIn’s data and systems.