Senior Staff Software Engineer, GeminiApp Horizontal New Features, DeepMind
Senior Staff Software Engineer, GeminiApp Horizontal New Features, DeepMind
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience with design and architecture; and testing/launching software products.
- 3 years of experience in native mobile development (e.g., Android or iOS) and building and shipping user-facing applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- Experience with user-facing product development, encompassing clients (e.g., Android/iOS) and backend services.
- Excellent system design skills.
About the job
In this role, you will be responsible for identifying and developing new features that cut across multiple user segments.Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Drive model enhancements to GeminiApp users, with a constrained timeline.
- Resolve technical issues and deliver high-quality products, adhering to legal, privacy, latency, and Tensor Processing Unit (TPU) cost constraints.
- Develop new features for GeminiApp by integrating its AI capabilities.
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