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# Staff Software Engineer - Core Infrastructure

- **Company:** Uber
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Engineering, Linux, Distributed Systems, Linux Kernel, Open Source Technology, Performance Tuning, Software Engineering, Data Ingestion, Multi-Cloud, Generative AI, HybridCloud, Backend, Agentic-AI, Information Technology, Machine Learning Operations, AIOps
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_449e4b5e2847df9139d59e960e6c7c5f

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field (or equivalent practical experience).
 * 8+ years of full-time Software Engineering work experience (inclusive of PhD research or equivalent specialised education).
 * Systems Languages: Deep, hands-on proficiency in Go, Java, or C++.
 * Distributed Systems Mastery: Demonstrated experience designing, building, and productionising large-scale, high-availability infrastructure services.
 * Execution Excellence: A proven track record of leading complex, multi-quarter technical initiatives from initial design through fleet-wide rollout., * Cloud-Native Depth: Deep knowledge of Kubernetes internals, container runtimes (CRI), and modern networking (CNI/Envoy).
 * Infrastructure Strategy: Prior experience with hybrid-cloud or multi-cloud migrations and cost-optimisation at a massive scale.
 * Linux & Kernel Knowledge: Strong understanding of operating systems, Linux kernel performance tuning, and/or eBPF.
 * AI/ML Infrastructure: Experience building or managing compute platforms specifically tailored for GPU scheduling and large-scale model training.
 * Community Influence: Active contributions to open-source infrastructure projects or a history of presenting at major technical conferences.

## Description

As a Staff Engineer in Core Infrastructure, you will be a key technical leader driving the architecture and evolution of the systems that power Uber's global business. You will engage with stakeholders across the company to spearhead backend solutions supporting every trip, delivery, and infrastructure tool used at Uber.

We are building a "cloud-native by default" ecosystem that is secure, reliable, and hyperscale-efficient. In this role, you will own the technical roadmap for critical sub-systems, ensuring our infrastructure is prepared to handle 1M+ concurrent trips alongside the massive compute demands of Generative AI and Autonomous Vehicle data., * Lead Architectural Evolution: Identify architectural gaps in our compute and networking stacks. Lead projects from ideation to global execution to fill those gaps (e.g., migrating to standardized CNI/Envoy or implementing shared GPU pools).

 * Drive Efficiency at Scale: Design and implement solutions to increase fleet-wide CPU utilisation (targeting 40%+) and accelerate ARM adoption to aggressively optimise Uber's unit costs.
 * Modernise for Multi-Cloud: Direct the technical strategy for our "Thrive in Cloud" initiative, ensuring our foundations are resilient, active-active across providers, and capable of rapid regional failover.
 * Integrate AIOps & Automation: Drive the development of "Agentic" infrastructure tools (e.g., Project Eve for network quality) to automate 80% of alert triaging and incident response.
 * Champion "Security by Design": Ensure 100% service-to-service authorisation and zero-trust networking are baked into the core fabric of our container and networking platforms.
 * Drive Cross-Functional Impact: Collaborate heavily with Storage, Data, and Product teams to ensure the infrastructure can support 300x larger ranking models and L4 Autonomous Vehicle data ingestion.
 * Mentor & Scale Talent: Act as a force multiplier by mentoring 5A and mid-level engineers, fostering a culture of "100% Done-Done" and operational excellence across the organisation.