The Matching Platform team sits at the very heart of Uber's global real-time marketplace. Every second, millions of riders and drivers around the world rely on our platform to connect seamlessly, reliably, and fairly.
Matching is one of the most intellectually challenging and mission-critical engineering domains at Uber. We operate at the intersection of high-throughput distributed systems, dynamic geospatial routing, combinatorial optimization, and production machine learning infrastructure. As a Senior Software Engineer, you will design the foundation for our next-generation dispatch and matching platform, directly influencing marketplace efficiency, driver earnings, and rider experience at massive global scale.
About the RoleIn this role, you will take ownership of the architecture, scalability, and operational excellence of Uber's core dispatching systems. You will collaborate across product, infrastructure, data science, and applied machine learning teams to evolve a low-latency platform that balances real-time marketplace dynamics under stringent P99 SLA targets.
What You'll Do- Design and Scale Real-Time Systems: Architect distributed, fault-tolerant services capable of processing millions of ride requests per second with single-digit millisecond latency.
- Modularize the Platform: Build extensible, domain-driven abstractions and APIs that allow product teams to launch new marketplace innovations without complex architectural rewrites.
- Bridge Systems and ML: Integrate production machine learning models and real-time inference pipelines into the critical serving path for dynamic pricing, ETA estimation, and batch matching.
- Optimize Marketplace Health: Collaborate with algorithms and economics teams to implement solutions that balance efficiency, network liquidity, driver fairness, and rider reliability.
- Drive Engineering Excellence: Lead performance profiling, capacity planning, and chaos testing across high-traffic production environments, raising the bar for system resilience and team best practices.
- 5+ years of professional software engineering experience building production systems.
- Strong proficiency in at least one modern backend programming language (e.g., Go, Java, C++, or Python).
- Deep understanding of computer science fundamentals: data structures, algorithms, concurrency, and distributed system design.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
- Distributed Systems at Scale: Proven track record designing, building, and operating high-throughput, low-latency microservices and event-driven architectures.
- Data & Storage Layer Expertise: Deep hands-on experience with distributed databases, caching layers, and storage engines (e.g., Cassandra, MySQL, Redis, Apache Kafka, or Apache Flink).
- ML Serving & Inference: Experience integrating real-time ML inference, feature pipelines, or experimentation platforms into mission-critical production services.
- Performance Engineering: Expertise in distributed profiling, bottleneck identification, memory management, and optimizing P99 latencies under heavy load.
- Collaboration & Technical Leadership: Strong communication skills with a history of mentoring engineers and driving cross-functional technical initiatives from concept to production.
Responsibilities
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
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.
Skills Required
- 5+ years of professional software engineering experience building production systems
- Strong proficiency in at least one modern backend programming language, such as Go, Java, C++, or Python
- Deep understanding of data structures, algorithms, concurrency, and distributed system design
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience
- Experience designing, building, and operating high-throughput, low-latency microservices and event-driven architectures
- Hands-on experience with distributed databases, caching layers, and storage engines such as Cassandra, MySQL, Redis, Apache Kafka, or Apache Flink
- Experience integrating real-time machine learning inference, feature pipelines, or experimentation platforms into production services
- Expertise in distributed profiling, bottleneck identification, memory management, and P99 latency optimization under heavy load
- Strong communication skills and a history of mentoring engineers and driving cross-functional technical initiatives
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
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Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
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Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
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Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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