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.
Debug is a small team that moves quickly and our team members often wear many different hats and need to be unafraid to learn new domains and technologies.
In this role, you will be developing software running on-premises that helps operate industrial automation running our mosquito factory and release, but also integrates with the Google Cloud Platform/Google Kubernetes Engine (GCP/GKE) software stack. You will work cross-functionally with Debug biologists and hardware engineers, and partners/customers to develop and deploy our technology at scale to sites around the world. You will have an ability to work well with people who may not have a software engineering background in order to understand their needs and feedback.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with full stack development, across the back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms.
- Experience in Machine Learning or computer vision.
- Experience with hacking hardware; Arduino, Raspberry Pi, etc and with other technologies: AS3, OpenCV, Android, Obj-C, etc.
- Full stack software development experience, including Web applications, Cloud software, Computer networking (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), Secure Sockets Layer/Transport Layer Security (SSL/TLS), Hypertext Transfer Protocol (HTTP), etc), Linux or other operating system development/administration, etc.