Job Description

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.

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.

Responsibilities:

• You will 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.
• You will 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
• You will help define business strategy and technical strategy and drive alignment cross functionally.
• You will head cross team/cross functional discussions and drive alignment on technology strategy.
• You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
• You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
• You will establish a culture that values diverse viewpoints while navigating complex decisions.

Qualifications

Basic Qualifications:

• 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

Preferred Qualifications:

• 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

Suggested Skills:

• Infrastructure
• Distributed systems
• AI Platform

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $248,000 to $406,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits

Additional Information