Uber
Overview
Software Engineer II - Autonomous Mobility & Delivery The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business, one of Uber's most important bets as a public company. Our goal is to enable mass-scale AV commercialization globally in all 10,000+ cities Uber operates. We are just getting started. As we move toward this future, there are a full spectrum of engineering challenges to tackle. Specifically: How do we ensure Uber's customers—from riders to eaters to merchants—have safe, informative, and seamless experiences with Uber without human driver interaction? How do we drive AV adoption with informative, trustworthy experiences? How do we ensure a rider’s autonomous ride experience remains safe, informative, and trustworthy from pickup through trip to drop-off? 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 product managers, data scientists, and operations teams to deliver impactful solutions. Develop and optimize algorithms for 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, aligning decisions with business goals and engineering best practices. Qualifications
Basic Qualifications
3+ years of industry software engineering experience (not applicable to internships) BS/BE in Computer Science, Engineering, Mathematics, or a related field Experience coding with Java, Scala, Go, C++, Python, or similar Experience with backend development and complex, scalable systems Preferred Qualifications
MS or PhD in Computer Science, Engineering, Mathematics, or a related field Strong verbal and written communication and presentation skills Background in autonomous vehicles with hands-on experience in AV systems or related technologies Strong understanding of algorithms and data structures in the context of real-time optimization, routing, or decision-making Experience with optimization techniques (e.g., linear programming, dynamic programming, heuristic methods) for large-scale systems Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems in autonomous or transportation domains Familiarity with simulation environments for validating autonomous systems or optimizing large-scale networks Strong collaboration skills Location, Compensation & Benefits
For San Francisco, CA; Seattle, WA; and Sunnyvale, CA-based roles, base salary ranges from USD 167,000 to 185,500 per year. All US locations offer eligibility for Uber's bonus program, potential equity awards, and other compensation, along with a range of benefits. Details: https://www.uber.com/careers/benefits Employment Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber. Get notified about new Software Engineer jobs in Seattle, WA.
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Software Engineer II - Autonomous Mobility & Delivery The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber's Rides and Eats business, one of Uber's most important bets as a public company. Our goal is to enable mass-scale AV commercialization globally in all 10,000+ cities Uber operates. We are just getting started. As we move toward this future, there are a full spectrum of engineering challenges to tackle. Specifically: How do we ensure Uber's customers—from riders to eaters to merchants—have safe, informative, and seamless experiences with Uber without human driver interaction? How do we drive AV adoption with informative, trustworthy experiences? How do we ensure a rider’s autonomous ride experience remains safe, informative, and trustworthy from pickup through trip to drop-off? 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 product managers, data scientists, and operations teams to deliver impactful solutions. Develop and optimize algorithms for 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, aligning decisions with business goals and engineering best practices. Qualifications
Basic Qualifications
3+ years of industry software engineering experience (not applicable to internships) BS/BE in Computer Science, Engineering, Mathematics, or a related field Experience coding with Java, Scala, Go, C++, Python, or similar Experience with backend development and complex, scalable systems Preferred Qualifications
MS or PhD in Computer Science, Engineering, Mathematics, or a related field Strong verbal and written communication and presentation skills Background in autonomous vehicles with hands-on experience in AV systems or related technologies Strong understanding of algorithms and data structures in the context of real-time optimization, routing, or decision-making Experience with optimization techniques (e.g., linear programming, dynamic programming, heuristic methods) for large-scale systems Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems in autonomous or transportation domains Familiarity with simulation environments for validating autonomous systems or optimizing large-scale networks Strong collaboration skills Location, Compensation & Benefits
For San Francisco, CA; Seattle, WA; and Sunnyvale, CA-based roles, base salary ranges from USD 167,000 to 185,500 per year. All US locations offer eligibility for Uber's bonus program, potential equity awards, and other compensation, along with a range of benefits. Details: https://www.uber.com/careers/benefits Employment Details
Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber. Get notified about new Software Engineer jobs in Seattle, WA.
#J-18808-Ljbffr