Uber Senior Software Engineer - Autonomous Mobility & Delivery 

United States, West Virginia 

641261934

What You Will Do

1. Lead the design and development of complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale.
2. Drive technical projects from inception to completion, collaborating with cross-functional partners such as product managers, data scientists, and operations teams to deliver impactful solutions.
3. Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance.
4. Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
5. Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
6. Mentor and guide junior engineers, sharing your expertise to enhance team velocity and the quality of technical output.
7. Collaborate across teams to ensure seamless integration of marketplace components with the larger autonomous vehicle ecosystem, driving both immediate improvements and long-term strategic gains.

- - - - Basic Qualifications ----

1. BS/BE degree or equivalent in Computer Science, Engineering, Mathematics or a related field
2. 5+ years of Software Engineering work experience
3. Experience coding with one or more of Java, Scala, Go, C++, Python (or similar)
4. Self motivated with a passion to learn
5. Solid understanding and hands-on experience in backend development and distributed systems

- - - - Preferred Qualifications ----

1. MS or PhD in Computer Science, Engineering, Mathematics or a related field
2. Outstanding verbal and written communication and presentation skills
3. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
4. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
5. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
6. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
7. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.