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Senior Software Engineer, iOS- Autonomous Mobility & Delivery [San Francisco]
San Francisco, CA
·
On-site
·
Full-time
·
1mo ago
Compensation
$198,000 - $198,000
Benefits & Perks
•Professional development budget
•Generous paid time off and holidays
•Competitive salary and equity package
•Flexible work arrangements
•401(k) matching
•Learning
•Equity
•Flexible Hours
Required Skills
TypeScript
JavaScript
Node.js
About the Role
As a Senior iOS Engineer, you'll help shape the AV rider journey end-to-end-from educational entry points and booking flows to real-time trip updates. You'll lead iOS product development efforts and foster a strong culture of metrics-driven engineering. efforts and foster a strong culture of metrics-driven engineering.
What You Will Do
- Lead iOS design and development of end-to-end AV rider experiences, including booking flows, on-trip interactions, and educational surfaces
- Partner with PMs, designers, and backend leads to own product outcomes
- Mentor junior engineers and contribute to broader technical strategy
- Drive rigorous experimentation and data-driven iteration across experience surfaces
---- Basic Qualifications ----
- BS/MS/Ph
D in Computer Science or equivalent:
- 5+ years of software engineering experience, with 5+ in iOS development
- Proficiency in platform-specific architecture patterns and frameworks (Swift/UIKit)
- Understanding of user experience and performance optimization on mobile
- Self-starter mindset and a bias for shipping impactful features
---- Preferred Qualifications ----
-
5+ years of experience in iOS development
-
Experience shipping complex mobile features in production
-
Familiarity with metrics platforms (e.g., Experimentation, Analytics SDKs)
-
Prior involvement in developing new product paradigms or zero-to-one launches
-
For San Francisco, CA-based roles: The base salary range for this role is USD**$198,000 per year**
-
USD**$220,000 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.
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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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
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
-
Bonus
-
$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
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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