Uber Software Engineer II 

United States, West Virginia 

126393066

About the Role

As we navigate this exciting path, we face unique engineering puzzles:

1. How do we ensure every Uber customer – from riders to eaters to merchants – enjoys a safe, clear, and truly magical experience , all without a human driver?
2. What makes people embrace AVs? How do we build trust and excitement around these new, driverless experiences?
3. How do we guarantee a rider's autonomous trip is always safe, informative, and reliable , from the moment of pickup to drop-off, even without a person behind the wheel?

Here’s what you’ll be doing:

1. Crafting a strategic roadmap that cements Uber's leadership as the go-to platform for autonomous ridesharing.
2. Overseeing the full lifecycle of multiple projects across different business areas, leveraging your deep understanding of user experience, marketplace dynamics, and platform versatility to hit key metrics.
3. Delivering new products and revolutionary paradigms that consistently boost our KPIs, all while keeping our platform rock-solid.
4. Developing cutting-edge tech that not only prepares Uber for future autonomous vehicle innovations but also makes a wider impact across the entire company.

- - - - Basic Qualifications ----

1. 3+ years of backend engineering expertise.
2. Skilled in a core programming language (e.g., C, C++, Java, Python, or Go).
3. A strong foundation in product development .

- - - - Preferred Qualifications ----

1. Proven track record with rapid, metrics-driven product iterations , always prioritizing reliability.
2. Extensive experience designing and building large-scale distributed systems and scalable backend services using a microservices approach to support fast-moving products.
3. Comfortable and experienced working in rapidly evolving, pioneering fields .
4. A background in the transportation or autonomous vehicle industry would be a plus.
5. Experience creating flexible, modular solutions that serve a variety of clients and use cases.
6. Deep experience applying Operations Research and Machine Learning to product engineering.
7. A knack for navigating complex cross-functional environments , collaborating effectively with business, legal, operations, and technical project management teams to achieve consensus.
8. Experience working closely with external engineering partners and their cross-functional teams.
9. Any experience with enterprise mobile engineering .

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .