
Sr Software Engineer - Matching Platform
Sunnyvale, CA · HybridFull-time$202–224K/yrSeen todaySeen in employer's feed today
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Job overview
Uber’s Matching Platform team builds real-time systems that connect riders and drivers globally. The Senior Software Engineer will own the architecture, scalability, and operational excellence of core dispatching systems, collaborating across product, infrastructure, data science, and machine learning teams. The role focuses on evolving a low-latency platform for marketplace dynamics, with direct influence on marketplace efficiency, driver earnings, and rider experience.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
About the Team
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 Role
In 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
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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.
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Modularize the Platform: Build extensible, domain-driven abstractions and APIs that allow product teams to launch new marketplace innovations without complex architectural rewrites.
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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.
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Optimize Marketplace Health: Collaborate with algorithms and economics teams to implement solutions that balance efficiency, network liquidity, driver fairness, and rider reliability.
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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.
Basic Qualifications
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5+ years of professional software engineering experience building production systems.
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Strong proficiency in at least one modern backend programming language (e.g., Go, Java, C++, or Python ).
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Deep understanding of computer science fundamentals: data structures, algorithms, concurrency, and distributed system design.
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Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
Preferred Qualifications
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Distributed Systems at Scale: Proven track record designing, building, and operating high-throughput, low-latency microservices and event-driven architectures.
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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).
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ML Serving & Inference: Experience integrating real-time ML inference, feature pipelines, or experimentation platforms into mission-critical production services.
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Performance Engineering: Expertise in distributed profiling, bottleneck identification, memory management, and optimizing P99 latencies under heavy load.
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Collaboration & Technical Leadership: Strong communication skills with a history of mentoring engineers and driving cross-functional technical initiatives from concept to production.
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.
Ready 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. (https://jobs.uber.com/en/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. (https://forms.gle/aDWTk9k6xtMU25Y5A?uclick\_id=d56eb634-bfb9-455e-a50d-901b3de0490c)
Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform
How this job compares
Set against the 41,649 open Software Engineer jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$202–224K/yr
- California median$165–249K/yr7,773 salary ranges
- US median$135–219K/yr33,149 salary ranges
This range's midpoint, $213K, is 4% above the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.
- Openings
- Olive Jobs lists 9,685 open Software Engineer jobs in California and 41,649 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 5 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (34,142 postings).
- Education
- 13,081 of the 41,649 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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