About the Role:
Uber is changing the way people think about transportation. Whether it's a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
We're looking for engineers to join our team to help UberEats build a new ads business that enables eaters to discover new dishes and restaurants, new food items and grocery stores to grow their customer base. You'll work with teams behind apps used by millions globally every day and be a part of the technical foundations of this new LOB. In hundreds of cities, people tap their phones to get meals and groceries delivered, or earn extra cash with Uber; we're looking for engineers that can help us ensure every one of those experiences is magical.
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UberEats ads business enables eaters to discover new foods, and restaurants to grow their customer base. You'll work with teams behind apps used by millions globally every day and be a part of the technical foundations of a new product.
Partners with stakeholders and leads team efforts to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
Minimum qualifications:
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-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 2-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.
- Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
- A desire to be part of a team that delivers impactful results every day
- Innate drive to deliver results and a deep sense of accountability for your work
- Passion for designing and building hyper-scale distributed systems
- Resilience, determination, ownership mindset, and a keen appetite for collaborative efforts
- Committed to crafting clear, maintainable, and reusable software
Technical skills:
Preferred:
- Experience with ads systems, auction systems, and/or ads reporting systems operating at large scale, low latency, and high availability.
- Experience setting technical vision and leading its adoption across multiple technical teams, and driving the technical direction of a department.
- Designing scalable systems, solving for bottlenecks, and working with distributed systems
- Experience improving operational excellence in the team, working on tickets, oncall, and reducing team operational overhead
- Experience proactively identifying problems and driving improvements in their team
- Experience working with cross-functional partners ranging from product, design, data science, and operations to deliver products to customers
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field AND 5+ years full-time Software Engineering work experience, WHICH INCLUDES 3+ years total technical software engineering experience
What the Candidate Will Do:
- Design, develop, and maintain robust and scalable software solutions
- Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
- Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment
- Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
- Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements
- Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
- Hands-on experience in productionizing machine learning or deep learning models in production
- Proficiency in building batch and real-time data pipelines
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form.
For Canada-based roles: The base salary range for this role is CAD$153,000 per year - CAD$170,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.