**About the Role**

As a Software Engineer in the Maps and Experimentation organization, you will play a pivotal role in engineering the high-scale foundational platforms that power Uber’s most critical global operations. In this role, you will own the end-to-end development of robust backend services, real-time data infrastructure, and intelligent workflows—whether for geospatial optimization or company-wide experimentation.

You will fuse multiple disciplines to build systems that serve as the backbone for hundreds of internal services and mobile apps across Rider, Eater, Driver, and Freight. By delivering decision-grade insights and automating complex ecosystem flows, you will directly impact the efficiency, reliability, and velocity of Uber’s core business. This is an opportunity to solve problems at the intersection of large-scale engineering, data science, and product design, empowering teams to push boundaries with confidence.

**What You Will Do**

- Develop and implement scalable APIs called by 100s of downstream dependencies across Uber
- Build low-latency, high-QPS microservices (tens of thousands + RPS) with strict availability SLOs.
- Build and optimize large-scale data pipelines in Spark/Presto to compute experiment metrics, power analyses, and marketplace-level supply-demand insights.
- Collaborate with data scientists and product managers to translate statistical models into robust, production-ready APIs and batch workflows.
- Utilize software development best practices to ensure systems are reliable (monitoring, alerting, logging, etc)
- Design and document architectural solutions to complex engineering problems

**Basic Qualifications**

- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- 2+ years of experience in professional software development experience, developing and deploying systems in production environments
- Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java.
- Excellent written and verbal communication skills, including the ability to document architectures and algorithms.
- Experience with Software Engineering Best Practices.

**Preferred Qualifications**

- Experience with geospatial data and location-based services.
- Familiarity with sensor data processing and analysis.
- Experience with Go, Java
- Experience with distributed systems
- Masters preferred

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

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).

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.