Senior Real-Time Dispatch & Matching Engineer

Uber; Sunnyvale (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Employee benefits

Job summary

Uber’s Matching Platform team is seeking a Senior Software Engineer to own the architecture, scalability, and operational excellence of core dispatching systems. You will collaborate across product, infrastructure, data science, and applied ML teams to build a low-latency platform for real-time marketplace dynamics.

You’ll design distributed services, integrate ML models for dynamic pricing and ETA estimation, and lead capacity planning and resilience improvements across high-traffic

Qualifications

• 5+ years of professional software engineering experience building production systems.
• Strong proficiency in at least one modern backend programming language (Go, Java, C++, or Python).
• Deep understanding of CS fundamentals: data structures, algorithms, concurrency, distributed systems.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent professional experience).

Responsibilities

• Design and scale real-time systems to process millions of ride requests per second with single-digit millisecond latency.
• Modularize the platform with domain-driven abstractions and extensible APIs for quick product iteration.
• Bridge systems and ML by integrating real-time ML inference into pricing, ETA, and matching pipelines.
• Optimize marketplace health by balancing efficiency, liquidity, driver fairness, and rider reliability.
• Drive engineering excellence through performance profiling, capacity planning, and chaos testing.

Skills

Go

Java

C++

Python

Education

Bachelor’s degree or equivalent in CS/Engineering/Math or related field

Tools

Cassandra

MySQL

Redis

Apache Kafka

Apache Flink

Job description

Uber’s Matching Platform team is seeking a Senior Software Engineer to own the architecture, scalability, and operational excellence of core dispatching systems. You will collaborate across product, infrastructure, data science, and applied ML teams to build a low-latency platform for real-time marketplace dynamics.

You’ll design distributed services, integrate ML models for dynamic pricing and ETA estimation, and lead capacity planning and resilience improvements across high-traffic