Taro Logo

Software Engineer, PhD, Early Career, Campus, 2025 Start

Google is a global technology company that provides a wide range of internet-related services and products.
Backend
Entry-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS · Cloud

Job Description

Google Cloud is seeking PhD Software Engineers to join their Machine Learning, Systems, and Cloud AI (MSCA) organization. This role combines academic research expertise with practical software engineering to solve real-world problems at massive scale. The position involves working on critical projects for Google Cloud's evolving needs, with opportunities to move between teams and initiatives as both the individual and business grow.

The role is part of the MSCA organization which creates cutting-edge AI/ML capabilities built on Google's frameworks, infrastructure, and services. Engineers in this position will work on designing and managing software, hardware, and ML systems infrastructure that power major Google services like Search and YouTube, as well as Google Cloud products.

As a PhD Software Engineer, you'll be part of a strong community of thousands of PhDs across Google, working on innovative projects in areas such as AI, ML, and distributed systems. The role involves collaboration with peers and stakeholders, code development and review, documentation, and complex problem-solving. You'll be empowered to think like an owner, proactively identifying customer needs and driving innovation.

The position requires expertise in computer science fundamentals, with experience in areas such as distributed systems, concurrency, and system architecture. The ideal candidate will have research experience in areas like algorithms, AI, machine learning, or systems, combined with strong programming skills in languages such as C++, Java, or Python.

Google Cloud prioritizes security, efficiency, and reliability in all aspects, from TPU development to operating one of the world's largest networks. This role offers the opportunity to shape the future of hyperscale computing while working on products that serve billions of users globally.

Last updated 3 months ago

Responsibilities For Software Engineer, PhD, Early Career, Campus, 2025 Start

  • Write product or system development code
  • Participate in, or lead design reviews with peers and stakeholders
  • Review code developed by other developers and provide feedback
  • Contribute to existing documentation or educational content
  • Triage product or system issues and debug/track/resolve issues
  • Lead and collaborate on team projects
  • Study, diagnose and resolve complex technical modeling and systems issues

Requirements For Software Engineer, PhD, Early Career, Campus, 2025 Start

Java
Python
Linux
  • PhD degree in Computer Science, a related technical field, or equivalent practical experience
  • Experience coding in one of the following programming languages including but not limited to: C, C++, Java, or Python
  • Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization

Related Jobs

Software Engineer, PhD, Early Career, Campus, 2025 Start

PhD Software Engineer position at Google Cloud focusing on machine learning, distributed systems, and cloud infrastructure development.

Software Engineer, PhD, Early Career, Campus, 2025 Start

PhD Software Engineer position at Google Cloud focusing on machine learning, distributed systems, and cloud infrastructure development.

Software Engineer, PhD, Early Career, Campus, 2025 Start

PhD Software Engineering role at Google Cloud focusing on ML, systems, and Cloud AI, combining research expertise with practical engineering to build scalable solutions.

Software Engineer, PhD, Early Career, Campus, 2025 Start

PhD Software Engineering role at Google Cloud focusing on machine learning systems and cloud infrastructure, ideal for recent graduates looking to apply research expertise in distributed systems and AI.

Associate Engineer, AS

Entry-level software engineering role at Deutsche Bank focusing on Java backend development with opportunities for technical leadership and professional growth.