What are the responsibilities and job description for the Sr Staff Engineer - Core Infrastructure position at Uber?
About The Role
We are seeking a Senior Staff Engineer (L6) to lead the technical strategy and evolution of Uber's Core Infrastructure Platform . As a Senior Staff Engineer, you are the principal architect of an ecosystem that handles 1M concurrent trips and massive-scale ML workloads. You will own the technical roadmap for our Compute, Foundations, and Software Networking stack, driving the shift from "Service Provider" to "Strategic Partner."
We aren't looking for a maintainer; we're looking for a visionary who can drive Platform Engineering 2.0 . You will solve the "hard problems" of extreme scale-driving fleet utilization from 26% to 40% , scaling GPU pools for Generative AI, and ensuring "Security by Design" across a global multi-cloud footprint.
What The Candidate Will Do
For New York, NY-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
We are seeking a Senior Staff Engineer (L6) to lead the technical strategy and evolution of Uber's Core Infrastructure Platform . As a Senior Staff Engineer, you are the principal architect of an ecosystem that handles 1M concurrent trips and massive-scale ML workloads. You will own the technical roadmap for our Compute, Foundations, and Software Networking stack, driving the shift from "Service Provider" to "Strategic Partner."
We aren't looking for a maintainer; we're looking for a visionary who can drive Platform Engineering 2.0 . You will solve the "hard problems" of extreme scale-driving fleet utilization from 26% to 40% , scaling GPU pools for Generative AI, and ensuring "Security by Design" across a global multi-cloud footprint.
What The Candidate Will Do
- Architect Strategic Efficiency: Own the technical vision to drive fleet-wide CPU utilization and unit-cost optimization through ARM adoption (targeting XM cores) and silicon diversity.
- Scale AI & ML Infrastructure: Define the architecture for shared GPU pools and high-performance clusters to support 300x larger ranking models and Autonomous Vehicle data ingestion.
- Modernize the Data Plane: Drive the convergence of Uber's networking stack toward industry standards (Kubernetes, Envoy, CNI) while enhancing "SkyEdge" for active-active multi-cloud resilience.
- Enforce Foundations & Reliability: Lead the "100% Done-Done" initiative, ensuring every service follows standardized safe-deployment (Starship) and reaches 100% zero-trust authorization.
- Agentic Augmentation: Integrate AI-driven "Minions" and AIOps into the infrastructure to automate 80% of alerts and unlock thousands of years of developer productivity.
- Cross-Org Influence: Partner with Delivery, Rides, and AV teams to ensure the infrastructure isn't just a container, but a competitive advantage that accelerates their time-to-market.
- Mentor Staff Engineers: Act as a force multiplier by coaching the next generation of technical leaders and influencing company-wide engineering standards.
- 12 years of software engineering experience , with a focus on massive-scale distributed systems or infrastructure.
- Proven Track Record at Scale: Experience managing infrastructure that supports millions of concurrent users or petabyte-scale data processing.
- Deep Systems Expertise: Mastery of Kubernetes internals, container runtimes, and the Linux kernel, with the ability to debug "impossible" performance bottlenecks.
- Cloud-Native Fluency: Deep experience with cloud-native networking (Envoy, CNI, Service Mesh) and multi-cloud (AWS/GCP) architecture.
- Coding Proficiency: Expert-level proficiency in Go, Java, or C .
- Leadership: Demonstrated ability to lead 40 person technical initiatives and influence VPs and GMs on infrastructure investment.
- Hardware/Silicon Strategy: Experience optimizing software for ARM architecture or specialized AI hardware (GPUs/TPUs).
- Open Source Leadership: Significant contributions to Kubernetes, CNCF projects, or other major infrastructure open-source communities.
- AIOps & Automation: Experience building self-healing infrastructure or using LLMs/ML to automate infrastructure operations and incident response.
- Zero-Trust Security: Hands-on experience implementing S2S/P2S security models and ransomware-resilient infrastructure.
- Cost-Aware Engineering: A proven history of driving XXM in annual P&L savings through architectural efficiency and resource scheduling.
For New York, NY-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 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. More details can be found at the following link https://jobs.uber.com/en/benefits.
Salary : $267,000 - $297,000