2025 PhD Software Engineering Internship – Amsterdam/Aarhus

2025 PhD Software Engineering Internship - Amsterdam/Aarhus

Job Description:

This internship presents an exceptional opportunity for PhD students who are enthusiastic about technology and software engineering. You will collaborate with a dedicated team of engineers, facilitating the transition from theoretical knowledge acquired in academia to practical applications in a professional setting. As Uber Engineering expands rapidly to leverage exciting global opportunities, the demand for sophisticated automatic program analysis tools is increasing. These tools are essential for maintaining high code quality and optimal system performance while enabling our engineers to adapt swiftly to changing requirements. The Programming Systems Group is particularly interested in doctoral interns who can contribute innovative solutions and enhancements in the realms of static and dynamic analysis, compiler optimizations, programming models, and Generative AI techniques, applying these advancements to Uber's extensive codebase and operational systems. Our objective is to boost performance, reliability, and developer productivity across various programming languages, including Go, Java (for mobile and backend), Swift, Kotlin, and TypeScript. The research activities encompass a blend of exploration, development, and enhancement of core infrastructure aimed at resolving critical, previously unaddressed challenges. Recent initiatives have led to the creation of static analysis tools and dynamic analysis tools that significantly improve code quality. We also emphasize the importance of sharing our findings with the broader community through open-source tools, blog posts, and academic publications.

IT Languages:

• Go
• Java
• Swift
• Kotlin
• TypeScript

As an intern, you will play a vital role in driving innovative projects, from conception to execution. This includes tackling complex and previously unsolved issues while navigating through ambiguous product requirements. You will be expected to iterate quickly on potential solutions and make informed decisions based on data analysis. Close collaboration with product managers and data scientists will be essential to ensure the successful implementation of your projects. You will also take ownership of your assignments, demonstrating independence and dedication to enhancing Uber's offerings for our users. Moreover, you will have the opportunity to publish your research at top-tier computer science conferences, showcasing your contributions to the field.:

Develop and implement new program analysis techniques;; Collaborate with team members to refine project requirements;; Iterate on designs and solutions based on feedback;; Conduct experiments to validate your approaches;; Publish findings in academic venues

Spoken Languages:

• English;; Dutch;; Danish

Skillset:

• Compiler optimization
• Static analysis
• Dynamic analysis
• Generative AI techniques
• Software design

Soft Skills:

• Strong communication skills
• Problem-solving mindset
• Ability to work independently
• Collaboration and teamwork

Qualifications:

• Currently enrolled in a PhD program in Computer Science, Computer Engineering, or a related field
• Prior experience with compiler optimization and static or dynamic analysis
• Published research in program analysis or code optimization

Years of Experience:

3

Location:

Europe

Job Benefits:

• Competitive monthly internship allowance
• Housing support
• Mentorship from experienced Uber engineers
• Opportunity to network with passionate technology professionals
• Possibility of future permanent position

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• The work environment is vibrant and dynamic, filled with individuals who share a strong passion for technology and innovation. You will be part of a collaborative team that encourages continuous learning and supports each other's professional growth. The culture fosters creativity and the pursuit of excellence, while also valuing diversity and inclusion in the workplace.

Opportunities For Advancement:

• Possibility of full-time employment after internship, Access to professional development resources, Networking opportunities within the tech industry

Visa Sponsorship:

Available