About the position
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. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Cloud to Google Ads, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
Responsibilities
- Design, develop, test, deploy, maintain, and improve software.
- Manage project priorities, deadlines, and deliverables.
Requirements
- Bachelor's degree or equivalent practical experience.
- 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) in an industry setting.
- Experience working with one or more of the following: Web or Mobile Application Development, Unix/Linux environments, Distributed and Parallel Systems, Machine Learning or AI, Information Retrieval, Natural Language Processing, Networking, Developing Software Systems, or Security Software Development.
Nice-to-haves
- Master's degree in Computer Science or a related technical field.
- Experience developing accessible technologies.
- Experience with machine learning algorithms and tools, Basics of Machine Learning, Generative AI, Recommendations/Ranking/Predictions, Natural Language Processing, Speech Audio, Machine Learning Infrastructure, Reinforcement Learning, and Computer Vision.
- Experience developing infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
Benefits
- Bonus
- Equity
- Health benefits
