Software Engineer II - Autonomous Mobility & Delivery
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About The Role
The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business. Our goal is to enable mass-scale AV commercialization globally in all 10000+ cities Uber operates. We are just getting started. As we gradually move towards this future, there are a full spectrum of engineering challenges to tackle.
Responsibilities
- Design and implement solutions and features within 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.
- Contribute to the creation of new features and platform capabilities, leveraging autonomous vehicle data and operational insights to build innovative solutions.
- Balance technical trade-offs between speed, performance, and quality, making informed decisions that align with both business goals and engineering best practices.
Basic Qualifications
- 3+ years of industry software engineering work experience (This role is not accepting intern applications)
- BS/BE degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience coding with one or more of Java, Scala, Go, C++, Python (or similar)
- Product experience
- Solid understanding and hands-on experience in backend development and complex, scalable systems
Preferred Qualifications
- MS or PhD in Computer Science, Engineering, Mathematics or a related field
- Outstanding verbal and written communication and presentation skills
- 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 real-time optimization, routing, or decision-making systems
- Experience with optimization techniques (e.g., linear programming, dynamic programming, heuristics) in large-scale systems
- Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems in autonomous or transportation domains
- Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks
- Strong communication and collaboration skills
Compensation and Benefits
For San Francisco, CA; Seattle, WA; and Sunnyvale, CA: base salary range USD 167,000 – 185,500 per year. All US locations are eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation. Benefits details are available at the Uber careers site.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Internet Marketplace Platforms
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