Senior Staff Engineer, Core Infrastructure

Uber

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Posted
41 days ago

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Salary context

How this pay compares to similar roles

Similar $170k
$122k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $141,137–$198,000.

Based on 240 similar postings.

Employer

About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 45 open roles on FindRole.

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At a glance

TL;DR · Senior Staff Engineer, Core Infrastructure

The Senior Staff Engineer (L6) role at Uber’s Core Infrastructure Platform in New York City involves leading the technical strategy and evolution of a system handling 1M+ concurrent trips and massive-scale ML workloads. This position requires owning the technical roadmap for Compute, Foundations, and Software Networking, driving efficiency through ARM adoption and silicon diversity while scaling GPU pools for Generative AI. The ideal candidate will have over 12 years of experience in massive-scale distributed systems, deep expertise in Kubernetes internals, container runtimes, and cloud-native networking (Envoy, CNI), proficiency in Go, Java, or C++, and a proven track record of managing infrastructure that supports millions of concurrent users. Additionally, the role demands leadership skills to influence VPs and GMs on infrastructure investment and mentor Staff+ Engineers across teams.

What you'll do

  • Architect strategic efficiency to drive fleet-wide CPU utilization and cost optimization.
  • Scale AI and ML infrastructure for massive data processing and model training.
  • Modernize the data plane by converging networking stack with industry standards.
  • Enforce foundations and reliability through standardized safe-deployment practices.
  • Mentor staff-level engineers and influence company-wide engineering standards.

What we're looking for

  • 12+ years of experience in software engineering with a focus on massive-scale distributed systems.
  • Proven track record managing infrastructure for millions of concurrent users or petabyte-scale data processing.
  • Deep expertise in Kubernetes, container runtimes, and the Linux kernel, including debugging complex performance issues.
  • Extensive knowledge of cloud-native networking (Envoy, CNI) and multi-cloud architecture (AWS/GCP).
  • Expert-level proficiency in Go, Java, or C++ programming languages.
  • Demonstrated leadership in technical initiatives involving 40+ person teams and influencing senior management.

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