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About the Role
The Autonomous Mobility & Delivery (AM&D)team is leading Uber's autonomous future across Rides and Eats. As we move toward a world where autonomous and human-driven vehicles coexist, we're building a hybrid marketplace that seamlessly integrates AVs - ensuring reliability, efficiency, and massive scale.
Our work touches nearly every part of Uber. Over the past year, we have partnered with top Autonomous Vehicle OEMs to successfully bring AVs onto our Mobility and Delivery platforms. And we are just getting started. As we gear up for the next wave of growth, we are looking for a Senior Staff Engineer to help drive the vision and platform strategy that will power Uber's autonomous future.
In this role, you will help design and scale the autonomous platform - building a foundation for faster OEM integrations, strengthening our simulation capabilities, and leveling up our data pipelines and reporting systems.
- What You Will Do
- Set the architectural vision:** Define and drive the technical direction for the AM&D platform, partnering closely with product and business leaders to create real impact for Uber and our customers.**
- Lead major platform initiatives:** Own and scale critical systems across the API Gateway, Simulation Platform, and Data Pipelines & Reporting.**
- Mentor and inspire:** Provide technical leadership and coaching to a high-performing team of engineers, helping foster an innovative and collaborative culture.**
- Build for scale and reliability:** Design, develop, and deploy platform components that are resilient, extensible, and easily integrated across multiple Uber surfaces.**
- Collaborate across Uber:** Work with cross-functional and cross-company teams to ensure our autonomous platform aligns with Uber's broader marketplace and product strategies.**
- Basic Qualifications
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND4-years full-time Software Engineering work experience OR7-years full-time Software Engineering work experience,WHICH INCLUDES4-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 4-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.
- Past experience in developing large-scale, distributed systems
- Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges
- Proven track record of leading and scaling high-impact product platform initiatives. Strong technical expertise with deep knowledge of platform architecture, microservices, and best practices for building resilient, scalable systems
- Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach
Preferred Qualifications:
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Experience in building API platforms, data platforms, simulation or other foundational product platforms that serve multiple product teams
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Experience in optimizing multiple-sided marketplace
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Familiarity with Autonomous or Mobility or Delivery Systems, and understand challenges unique to the autonomous or mobility or delivery industries
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Passionate about shaping the future of autonomous delivery and driving innovation in the industry
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For San Francisco, CA-based roles: The base salary range for this role is USD**$267,000 per year**
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USD**$297,000 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity 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.
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.
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Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
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$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
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