Uber Sr Software Engineer - Autonomous Mobility & Delivery 

United States, West Virginia 

221761179

What You Will Do

• Lead the design and development of complex, highly scalable systems, ensuring the marketplace for autonomous vehicles operates efficiently at scale
• 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
• Develop and optimize algorithms to solve challenging problems in autonomous vehicle routing, matching, pricing, and incentive systems, directly influencing marketplace performance
• Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices
• Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions
• Mentor and guide junior engineers, sharing your expertise to enhance team velocity and the quality of technical output
• 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

• Expertise in system design and architecture, with the ability to lead the development of complex, scalable systems
• Demonstrated leadership skills in driving projects and mentoring junior engineers to improve team performance and code quality
• Strong communication and collaboration skills, with experience in cross-functional teams and a track record of delivering results through partnerships
• A focus on impact, with a history of making strategic decisions that align with business goals and deliver measurable outcomes

Preferred Qualifications

• Minimum 5+ years hands-on experience with backend development
• Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies
• Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems
• Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
• Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains
• 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.