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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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Uber 소개

Uber

Uber

Public

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

10,001+

직원 수

San Francisco

본사 위치

$120B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

4.0

문화

4.1

커리어

3.4

경영진

2.8

68%

친구에게 추천

장점

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

단점

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

연봉 정보

15,354개 데이터

Mid/L4

Mid/L4 · Data Analyst

3개 리포트

$209,300

총 연봉

기본급

$161,000

주식

-

보너스

-

$203,580

$209,300

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 80%

보통 20%

부정 0%

면접 과정

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

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge