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职位Uber

2026 Graduate PhD Software Engineer - Aarhus University

Uber

2026 Graduate PhD Software Engineer - Aarhus University

Uber

Århus, Denmark

·

On-site

·

Full-time

·

3d ago

About the team:

Uber Denmark Engineering team builds Uber's core infrastructure to deploy and run all microservices, database technologies, configuration bundles, data workloads, cloud resources, and other systems globally. Our mission at Uber is to build and run our core infrastructure at scale, with high availability, low cost, and a high level of automation. Explore more about our Engineering teams in Aarhus here.

About the Role:

Are you a motivated software engineer who wants to be part of an innovative and impactful tech company? Are you passionate about massive scalability and making our excellent technology available in international markets? Do you want to make meaningful contributions to Uber's success?

We are seeking a PhD Graduate to join our team as we continue to grow our global footprint. This is an opportunity to work with a stellar team on the daily functions that are at the core of Uber's platform engineering efforts.

We have great opportunities ahead to centralize changes across various deployment systems for stateful and stateless services, ML models, dynamic configuration, Cloud resources, secrets, and more. Our platform makes informed decisions with a high degree of precision and accuracy, to detect incidents and regressions early and automatically, thereby minimizing the risk of outages. You will take an active role in designing, implementing and shipping step improvements of our system in order to automate regression detection, and enable autonomous repair/mitigation actions.

What You'll Do:

  • Drive exciting, ambitious, previously unsolved projects from end to end
  • Thrive in an environment with ambiguous product requirements
  • Collaborate closely with different teams
  • Be motivated to independently own and drive projects forward
  • Keep the bar high on sustainable engineering by following best practices, producing best in class of code, documentation, testing, and monitoring.
  • Have a passion to make Uber better for our customers

Basic qualifications:

  • Recently PhD graduated with a relevant degree in Computer Science, Software Engineering from Aarhus University
  • Experience coding with Go, C++, Java, Python or similar programming language

Preferred qualifications:

  • Enjoy building high-quality software that is relied upon by millions of people around the world.
  • Comfortable working with ambiguity in a constantly evolving environment

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 fuelds progress. What moves us, moves the world - let's move it 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.

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关于Uber

Uber

Uber

Public

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

员工数

San Francisco

总部位置

$120B

企业估值

评价

3.7

10条评价

工作生活平衡

3.2

薪酬

4.0

企业文化

4.1

职业发展

3.4

管理层

2.8

68%

推荐给朋友

优点

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

缺点

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

薪资范围

15,354个数据点

Mid/L4

Mid/L4 · Data Analyst

3份报告

$209,300

年薪总额

基本工资

$161,000

股票

-

奖金

-

$203,580

$209,300

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 80%

中性 20%

负面 0%

面试流程

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

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge