Reimagining transportation for a better world
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Uber • Sunnyvale, USA
Uber is seeking a 2026 PhD Software Engineer Intern for their Container Platform team. You'll contribute to the development of software and algorithms for optimizing compute resources. This role requires familiarity with Kubernetes and Python.
You are a PhD candidate with a strong foundation in software engineering principles and a passion for optimizing compute resources. You have experience working with Kubernetes and understand the intricacies of container orchestration. Your academic background has equipped you with the skills to contribute to research and development projects, particularly in the realm of predictive algorithms. You thrive in collaborative environments, working closely with other engineers and leads to drive impactful solutions. You are eager to learn and grow within a fast-paced engineering team, and you are excited about the opportunity to apply your knowledge in a real-world setting.
Experience with cloud infrastructure and a solid understanding of machine learning concepts would be advantageous. Familiarity with programming languages such as Python is a plus, as is any exposure to large-scale systems or distributed computing.
As a Software Engineer Intern on the Container Platform team, you will be embedded within a dynamic engineering group, contributing to the development of innovative solutions for Uber's compute infrastructure. Your primary focus will be on designing and developing mechanisms that enhance the accuracy and efficiency of compute capacity autoscaling. You will collaborate with experienced engineers to implement algorithms that optimize resource allocation across a diverse range of workloads, including stateless, batch, and streaming applications. You will also engage with the open-source community, contributing to projects like Kubernetes and ensuring that Uber's container orchestration platform remains at the cutting edge of technology.
Throughout your internship, you will have the opportunity to participate in code reviews, contribute to technical documentation, and engage in team discussions that shape the future of Uber's infrastructure. You will gain hands-on experience in a complex environment that spans both on-prem data centers and cloud services, allowing you to apply your academic knowledge to practical challenges.
Uber provides a collaborative and inclusive work environment where you can learn from industry leaders and contribute to meaningful projects. As an intern, you will receive mentorship and guidance from experienced engineers, helping you to develop your skills and advance your career. You will also have access to resources and tools that support your professional growth. The internship is designed to be a valuable experience, allowing you to make a real impact while gaining insights into the workings of a leading technology company. Additionally, you will have the chance to network with other interns and professionals within Uber, fostering connections that can benefit your future career.
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