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Uber Eats hiring Staff Software Engineer - Core Infrastructure, Sunnyvale, California

Staff Software Engineer - Core Infrastructure

Uber Eats

Sunnyvale, California
Posted yesterday

Qualifications

Education

Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field (or equivalent practical experience).

Experience Requirements

Required

8+ years of full-time Software Engineering work experience (inclusive of PhD research or equivalent specialized education).

8 years of experience

Benefits & Perks

Benefits Package

  • participate in Uber's bonus program
  • may be offered an equity award
  • eligible for various benefits
  • eligible to participate in a 401(k) plan

Required Skills

Technical Skills

GoJavaC++

Full Job Description

Staff Engineer in Core Infrastructure

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.

The Core Infrastructure Platform team builds the next generation of Uber's orchestration, foundation, and networking layers. We manage a highly complex fleet spanning on-prem data centers and multiple public clouds, supporting a diverse variety of workloads including stateless, batch, streaming, and ML.

Our ultimate goal is to create seamless abstractions so Uber developers can deploy anywhere in the world with the touch of a button—making infrastructure "just work." We are also highly active contributors to the open-source community (Kubernetes, CNCF) and regularly present our innovations at industry conferences like KubeCon.

What You Will Do

  • 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 utilization (targeting 40%+) and accelerate ARM adoption to aggressively optimize Uber's unit costs.
  • Modernize 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 authorization 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 organization.

Basic Qualifications

  • 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 specialized education).
  • Deep, hands-on proficiency in Go, Java, or C++.
  • Demonstrated experience designing, building, and productionizing large-scale, high-availability infrastructure services.
  • A proven track record of leading complex, multi-quarter technical initiatives from initial design through fleet-wide rollout.

Preferred Qualifications

  • Deep knowledge of Kubernetes internals, container runtimes (CRI), and modern networking (CNI/Envoy).
  • Prior experience with hybrid-cloud or multi-cloud migrations and cost-optimization at a massive scale.
  • Strong understanding of operating systems, Linux kernel performance tuning, and/or eBPF.
  • Experience building or managing compute platforms specifically tailored for GPU scheduling and large-scale model training.
  • Active contributions to open-source infrastructure projects or a history of presenting at major technical conferences.

For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

How to Apply

Estimated Salary

$159
/ hour

Uber Eats pays $159 for Software Engineer in Sunnyvale, California, with most salaries ranging from $120 to $212. Pay can vary based on role, experience, and local cost of living.

Median
$159
Low
$120
High
$212

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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.