About the Team:

As a Staff Software Engineer on the Uber Eats Feed team at Uber, you will be at the forefront of building and scaling Uber's feed products and its underlying platform. Your work will enable Uber to provide personalized and relevant feed experiences, driving both customer satisfaction and bookings growth. You will collaborate across teams, including product, data science, and design, to deliver world-class advertising solutions that support Uber’s growth strategy. In this role, you’ll tackle complex engineering challenges that come with operating at Uber’s scale, working on systems that are highly available, reliable, and performance-optimized. This is a unique opportunity to have a significant impact on a critical part of Uber’s growth strategy while building world class user experiences.

Minimum 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.

Technical skills:

Required:

• Distributed systems

Preferred:

• 8+ years of experience in software engineering, with a focus on product development and large-scale system design.
• Deep experience in developing product features and/or platforms for digital advertising.
• Demonstrated ability to drive technical strategy and long-term vision for engineering initiatives.
• Product engineering
• Scalability engineering

--- What the Candidate Will Do ----

• Lead the design, development, and deployment of new ad products, features, and platforms that enhance the advertiser and user experience.
• Collaborate with product managers and cross-functional stakeholders to translate business requirements into technical solutions that align with Uber’s ad strategy.
• Build robust, scalable, and efficient systems that handle real-time user data, ad requests, and delivery at scale.
• Develop personalized ad products leveraging data insights, A/B testing, and machine learning models to optimize ad performance and relevance.
• Ensure ad products are compliant with privacy and regulatory requirements (e.g., GDPR, CCPA) while maintaining user trust.
• Mentor and guide junior engineers on technical designs, coding best practices, and architecture.
• Drive the long-term vision for ad products, identifying opportunities for new advertising formats and monetization strategies.

For Seattle, WA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

For all US locations, 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 .

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 .

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.