Staff Software Engineer - Engineer

Staff Software Engineer - AI Infra - Training
Description
About the role and team
Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Staff Software Engineer, you will be a technical anchor for the foundational systems that move the world - from building the next generation of orchestration platforms to architecting the stacks that power our global applications. Our mission is to make transportation as reliable as running water, and we need technical powerhouses to build the dependable, high-performance foundation that supports that vision.
This is a role for a proven, large-scale systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructures spanning global data centers and multiple cloud providers, supporting a diverse variety of workloads. You’ll need to make smart decisions with imperfect information and own the outcomes of global architectural choices. If you lead with clarity, build with heart, and are motivated by the challenge of peak efficiency at unparalleled scale - this is where you’ll make your mark.
What you’ll do
Design and build end-to-end systems for Uber’s ML training stack. Solve the scaling challenges on very large datasets and models.
Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
Build innovative solutions that leverage statistical analysis to diagnose performance regressions and optimize resource utilization across complex infrastructures.
Create best-in-class tools and frameworks that increase the velocity and quality of hundreds of internal engineering teams.
Lead and mentor engineers, reviewing code and designs while fostering a culture of continuous learning and humility.
Work cross-functionally with Product, Data Science, and Operations across the globe to drive large-scale projects and align technical investments with business value.
Basic Qualifications