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EXA

Software Engineer, Infrastructure

San Francisco, California$180k–$350kfulltimemidAdded 1 month ago

About this role

Exa, an applied AI lab building next-generation search infrastructure, seeks an Infrastructure Engineer to design and operate massive-scale systems powering web crawling, embedding models, and vector databases. You'll build the foundational tooling that enables rapid innovation across GPU clusters, distributed training, and high-performance inference systems.

What you'll do

  • Scale GPU infrastructure to process web-scale data cost-efficiently across multiple regions and clouds
  • Orchestrate multi-region training and inference workloads on GPU clusters using Kubernetes and Ray
  • Design and maintain advanced LLM gateway and CI/CD systems for AI-native development
  • Build observability and monitoring tooling to support massive distributed systems
  • Create custom build infrastructure and caching solutions using Nix
  • Automate software maintenance and infrastructure improvements company-wide

What they're looking for

  • Distributed systems and large-scale infrastructure design
  • Kubernetes and GPU cluster orchestration
  • Ray or similar distributed computing frameworks
  • Infrastructure-as-code and automation (Nix, Terraform, etc.)
  • CI/CD pipeline design and optimization
  • Multi-cloud and multi-region deployment
  • Systems performance optimization and cost efficiency
  • Observability and monitoring systems

Benefits

  • Premium healthcare (medical, dental, vision)
  • Fertility benefits
  • 16 weeks fully paid parental leave
  • Monthly wellness stipend
  • Visa sponsorship available for international candidates
  • In-person work in San Francisco
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EXA

Exa builds AI-powered search infrastructure that powers major products and serves hundreds of thousands of developers through APIs, SDKs, and web crawling technology. The company is hiring full-stack engineers, research engineers, distributed systems architects, customer-facing deployment engineers, and growth engineers to expand its platform and customer base.

View all jobs at EXA

Likely interview questions

  • Describe your experience with Kubernetes and GPU cluster orchestration. How have you optimized resource utilization or cost efficiency in a large-scale GPU environment?
  • Tell us about a time you automated away a repetitive operational task. What tools did you use and what was the impact?
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