Senior Software Engineer, Full Stack, Lab Science
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in Java or Kotlin.
- Experience in launching software, hardware, or digital technology products to market.
- Experience diagnosing, debugging, and resolving technical issues in a software or hardware environment.
- Experience in developing and maintaining back-end, front-end, or full-stack software applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
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.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Collaborate with research teams, as well as cross-functional partners (Product Management, User Experience, Technical Program Management (PM, UX, TPM) across and outside of Labs.
- Contribute to and drive parts of the overall product and engineering roadmap.
- Develop functional product features with full-stack development though back-end only work is fine as well.
- Build deep understanding of language and multi-modal technologies and approach to applying them in the product’s context.
- Prototype AI solutions for new product features, and support landing them in production.
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