LinkedIn
Director, Software Engineering - AI Infrastructure
LinkedIn, Mountain View, California, United States
Director, Software Engineering - AI Infrastructure
Full-time
Workplace Type: Hybrid
Location: Sunnyvale, CA
AI and search are fundamental to virtually every LinkedIn experience. Our members use AI to view feed, ads, jobs, notifications, etc. To power these solutions, our AI Infrastructure unites information retrieval, machine learning, and distributed systems.
The mission of the AI Infrastructure team is to create highly available, reliable, and performant AI and information retrieval systems that delight ML Engineers. The distributed search platform must scale across data & traffic while enabling rapid innovation and relevance improvement.
As the Engineering Director of the information retrieval control plane (which includes hosted search), you will lead a team of 50+ engineers, managers, embedded SREs, and TPMs. You will partner with engineering, infrastructure, product, and business leaders to steer the core technical agenda for this domain.
This position is a core member of LinkedIn’s AI Infrastructure engineering leadership team. You will be a key contributor to the business’s success by delivering member and customer value from LinkedIn’s economic graph.
Basic Qualifications
5+ years of software engineering management experience
4+ years in data infrastructure, search infrastructure, or ML platforms
B.A./B.S. degree or higher, or equivalent experience
Preferred Qualifications
Good understanding of AI model serving and development
Hands‑on experience building large‑scale distributed systems
Track record of attracting, retaining, and developing top engineering talent
Excellent communication and presentation skills
Suggested Skills
Technical Leadership
Data Infrastructure
Search Infrastructure
ML Platforms
Pay Range: $226,000 to $369,000. Total compensation may include bonus, stock, benefits, and other incentives.
Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Reasonable Accommodations If you need a reasonable accommodation for job search or interview, contact accommodations@linkedin.com.
San Francisco Fair Chance Ordinance LinkedIn will consider qualified applicants with arrest and conviction records.
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Full-time
Workplace Type: Hybrid
Location: Sunnyvale, CA
AI and search are fundamental to virtually every LinkedIn experience. Our members use AI to view feed, ads, jobs, notifications, etc. To power these solutions, our AI Infrastructure unites information retrieval, machine learning, and distributed systems.
The mission of the AI Infrastructure team is to create highly available, reliable, and performant AI and information retrieval systems that delight ML Engineers. The distributed search platform must scale across data & traffic while enabling rapid innovation and relevance improvement.
As the Engineering Director of the information retrieval control plane (which includes hosted search), you will lead a team of 50+ engineers, managers, embedded SREs, and TPMs. You will partner with engineering, infrastructure, product, and business leaders to steer the core technical agenda for this domain.
This position is a core member of LinkedIn’s AI Infrastructure engineering leadership team. You will be a key contributor to the business’s success by delivering member and customer value from LinkedIn’s economic graph.
Basic Qualifications
5+ years of software engineering management experience
4+ years in data infrastructure, search infrastructure, or ML platforms
B.A./B.S. degree or higher, or equivalent experience
Preferred Qualifications
Good understanding of AI model serving and development
Hands‑on experience building large‑scale distributed systems
Track record of attracting, retaining, and developing top engineering talent
Excellent communication and presentation skills
Suggested Skills
Technical Leadership
Data Infrastructure
Search Infrastructure
ML Platforms
Pay Range: $226,000 to $369,000. Total compensation may include bonus, stock, benefits, and other incentives.
Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Reasonable Accommodations If you need a reasonable accommodation for job search or interview, contact accommodations@linkedin.com.
San Francisco Fair Chance Ordinance LinkedIn will consider qualified applicants with arrest and conviction records.
#J-18808-Ljbffr