Software Engineer, Early Career, 2025 Start

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python.

Preferred qualifications:

• Bachelor's or Master's degree, or PhD.
• Experience with UNIX/Linux or Windows environments, distributed systems, machine learning, information retrieval, and TCP/IP.
• Experience programming in C, C++, Java or Python.
• Experience in network programming or developing/designing large software systems.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Research, conceive, and develop software applications to extend and improve on Google's product offering.
• Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
• Collaborate on scalability issues involving access to massive amounts of data and information.