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Uber

Software Engineer II - Autonomous Mobility & Delivery

Uber, San Francisco, California, United States, 94199

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Software Engineer II - Autonomous Mobility & Delivery Get AI-powered advice on this job and more exclusive features.

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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