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Sr Staff Engineer, ML Infrastructure and Performance

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce.
$149,000 - $247,000
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Sr Staff Engineer, ML Infrastructure and Performance

LinkedIn, the world's largest professional network, is seeking a Senior Staff Engineer to lead their ML Infrastructure and Performance initiatives. This role represents a unique opportunity to shape the future of AI infrastructure at scale.

The position focuses on designing and maintaining large-scale GPU infrastructure for machine learning and AI workloads. As the technical leader, you'll be responsible for crucial decisions regarding hardware selection, networking architecture, and storage solutions that power LinkedIn's AI initiatives. You'll work at the intersection of cutting-edge ML technology and enterprise-scale infrastructure.

The role requires deep expertise in GPU computing, high-performance networking, and distributed systems. You'll be expected to design solutions utilizing technologies like InfiniBand, high-speed Ethernet, and parallel file systems. The position involves both technical leadership and hands-on engineering, requiring you to balance architectural decisions with practical implementation.

Working in LinkedIn's hybrid environment, you'll collaborate with data scientists, ML engineers, and infrastructure teams across the organization. The company offers competitive compensation ($149,000 - $247,000) and the opportunity to impact how millions of professionals connect and grow their careers.

This role is ideal for someone who combines deep technical expertise with strategic thinking and leadership abilities. You'll need to stay current with emerging hardware technologies and industry trends while maintaining a focus on operational excellence and system reliability. The position offers significant growth potential and the chance to work on challenging problems at scale.

LinkedIn's commitment to trust, care, inclusion, and fun creates an environment where engineers can thrive while solving complex technical challenges. The role provides the opportunity to work with cutting-edge AI technology while helping shape the future of professional networking globally.

Last updated 11 hours ago

Responsibilities For Sr Staff Engineer, ML Infrastructure and Performance

  • Design and build large-scale GPU infrastructure for ML/AI workloads
  • Define and evaluate GPU server SKUs and configurations
  • Design high-throughput, low-latency networking solutions
  • Lead operational support for production GPU fleets
  • Develop observability tooling for monitoring and troubleshooting
  • Partner with Data Scientists and ML Engineers on infrastructure requirements
  • Guide junior engineers in architecture and operational practices
  • Influence long-term ML/AI infrastructure roadmap

Requirements For Sr Staff Engineer, ML Infrastructure and Performance

Kubernetes
Linux
  • Bachelor's degree in Computer Science, Electrical Engineering, or related field
  • 8+ years of experience in distributed systems or HPC environments
  • 3+ years focused on GPU-based ML/AI workloads
  • Experience with GPU compute clusters and CUDA
  • Deep knowledge of high-performance networking
  • Familiarity with monitoring and logging tools
  • Experience with containerization and job schedulers
  • Excellent communication skills
  • Strong organizational and leadership abilities

Benefits For Sr Staff Engineer, ML Infrastructure and Performance

Medical Insurance
Dental Insurance
Vision Insurance
  • Flexible work arrangements
  • Professional growth opportunities

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