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Distinguished Engineer, AI Infrastructure

Job in New York, New York County, New York, 10261, USA
Listing for: Equinix
Full Time position
Listed on 2026-10-21
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 253000 - 379000 USD Yearly USD 253000.00 379000.00 YEAR
Job Description & How to Apply Below
Location: New York

Who are we?

Equinix is the world's digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

Help us challenge assumptions, uncover bias, and remove barriers-because progress starts with fresh ideas. You'll find belonging, purpose, and a team that welcomes you-because when you feel valued, you're empowered to do your best work.

Job Summary

Equinix is building a new generation of AI infrastructure products, and we are looking for senior technical leaders to help shape them. As a Distinguished Engineer on the AI Infrastructure Products team, you will design, build, and launch the platforms and services that let customers run AI inference close to their data, clouds, and partners across Equinix's global footprint.

This is a hands-on builder role. You will incubate new products and take them from zero to one, then harden them into reliable platforms that run at global scale. You will work across the stack, from container & service-based compute platforms and customer-facing APIs to the networking that connects AI workloads with Equinix Fabric and our broader interconnection portfolio.

As a Distinguished Engineer, you will be the senior-most technical authority for AI Infrastructure Products, setting the multi-year architecture vision and shaping how Equinix competes in AI infrastructure. You will operate at a company and industry level, recognized as an expert inside and outside Equinix.

Responsibilities Scope as a Distinguished Engineer
  • Define and own the multi-year technical vision and reference architecture for AI infrastructure across Equinix, aligning product, platform, and network strategy
  • Influence executive leadership and company-wide technology investments, and represent Equinix with strategic customers, partners, standards bodies, and industry forums
  • Mentor and develop Senior Principal and Principal Engineers, and shape the technical talent bar for the organization
Build AI Infrastructure Products
  • Design, build, and operate infrastructure and inference-related products and services, and the APIs customers use to consume them
  • Write production-quality code, primarily in Go, and set a high bar for code quality, testing, and design reviews
  • Design API-first, service-oriented architectures that are secure, well documented, and easy for customers and partners to integrate with
  • Track the fast-moving inference ecosystem (serving frameworks, accelerators, model optimization) and bring the right technologies into our products
Incubate and Launch Zero-to-One Products
  • Take new ideas from concept to prototype to production launch, partnering closely with Product Management to shape requirements and define MVPs
  • Move quickly in ambiguous problem spaces: run proofs of concept, make build-vs-buy calls, and turn early learnings into a durable architecture
  • Help shape the product roadmap by translating customer needs and market shifts into technical strategy
Platform, Scale & Reliability
  • Architect and run platforms and services that scale across Equinix's global data center footprint
  • Apply platform engineering, Dev Ops, and SRE practices (automation, CI/CD, infrastructure as code, observability, SLOs, incident response) so that what we launch stays reliable at scale
  • Identify and resolve systemic reliability, performance, and cost issues across the platform
Networking & Interconnection
  • Integrate AI infrastructure products with Equinix Fabric, Network Edge, and other interconnection products so customers can securely connect AI workloads to clouds, partners, and their own environments
  • Partner with network architecture…
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