Sr Software Engineer - Engineer

About the team

The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber’s Rides and Eats business, which is one of Uber’s most important bets as a public company that sets the world in motion. Our goal is to eventually enable mass-scale AV commercialization globally in all 10000+ cities Uber operates. We are just getting started.

As we gradually but surely move towards this future, there are a full spectrum of engineering challenges that need to be tackled. For Autonomous Mobility Product Engineering team, specifically:

• How do we drive AV adoptions with informative, trustworthy and exciting experiences?
• How do we make sure a rider's autonomous ride share experience is still safe, informative and trustworthy without a human driver to interact with? From pickup, to on trip to drop off.

We are solving problems that have never been solved before. Creating solutions that will shape the world’s future in autonomous transportation. Therefore we are looking for the best software engineering talents to join us to write this future chapter for humanity.

What You’ll Do

As a Senior Software Engineer, you will be expected to lead key projects that contribute to one or several top line KPIs for the team. You will work closely with cross functional partners to develop product requirements and technical designs, and push these plans into fruition. 

• Develop a strategic roadmap that helps Uber to achieve specific business goals that forwards its strategic goals that strengthens Uber’s position as the Autonomous Vehicle rideshare platform of choice.
• Lead and guide end to end execution of multiple projects concurrently across multiple lines of businesses with deep knowledge and intuitions around experience, marketplace dynamics and platform versatility to drive key metrics from projects to projects.
• Ship new products and paradigms that move KPIs quarter over quarter while ensuring platform stability.
• Develop tech that future proofs Uber’s tech stack for Autonomous Vehicle use cases while making broader company-wide impact where applicable.

Basic Qualifications

PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:

Programming language (e.g. C, C++, Java, Python, or Go)

Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Preferred Qualifications

• 5+ years of total software development experience
• Prefer background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
• Strong product engineering background and technical skillset.
• Business-driven mindset to lead cross-functional and inter-company collaborations, driving key projects that directly impact team KPIs.
• Ability to anticipate opportunities and technical challenges coming with business expansions, while developing future-proof solutions for Autonomous Vehicle use cases.
• Extensive experience with fast-pace metrics-driven and business-driven product iterations with strong reliability guardrails
• Experience in crafting and developing large scale distributed systems and scalable backend services that powers fast-pace product iterations using a microservices architecture
• Extensive experience working in a fast changing, groundbreaking domain.
• Background in transportation and / or autonomous vehicle industry
• Extensive experience building modular and scalable solutions that caters to a variety of clients and use cases.
• Extensive experience with product engineering applications of Operations Research.
• Extensive experience navigating complex cross functional collaboration: Aside from day to day collaboration with product and design counterparts, extensive experience working with business, legal, operations, technical project management, etc to drive consensus.
• Extensive experience working closely with external partner engineering teams and their cross-functional partners.
• Any level of enterprise mobile engineering experience