Staff Software Engineer, Android
About The Position
Help shape the future of mobile productivity at the cutting edge of AI. As a Staff Android Engineer , you’ll build and scale the next generation of intelligent, AI-powered mobile experiences that help millions of users work smarter. You’ll be the driving force behind Android innovation at Otter.ai , leading the creation of sleek, high-performing features that bring real-time AI capabilities like transcription, summarization, and contextual insights directly into the hands of users. This is your chance to combine deep Android expertise with emerging AI technology, collaborating closely with top-tier engineers, product visionaries, and AI researchers. You’ll work end-to-end from concept to launch on products that are transforming how people communicate, capture knowledge, and collaborate in their daily lives.
Requirements
- 10+ years of application development experience, predominantly for Android devices and in Kotlin
- Proven success shipping consumer-facing apps on Google Play, with deep ownership of end-to-end development.
- Strong background in concurrency, memory management, and networking on Android.
- Passion for creating world-class mobile experiences with clean, modern UI design.
- Excellent communicator who thrives in cross-functional collaboration with AI and backend teams.
- BS or MS in Computer Science or a related technical field.
- Experience integrating backend APIs and working with streaming or real-time data.
Nice To Haves
- Hands-on experience or strong curiosity about building AI-enhanced mobile features (speech recognition, summarization, personalization, etc.).
- Experience visualizing or interacting with AI insights in the UI.
- A love of innovation, someone who wants to help shape how AI changes the mobile experience for millions.
Responsibilities
- Lead the design and development of advanced Android features that integrate seamlessly with AI-driven systems.
- Build high-performance mobile systems that handle real-time data streams, speech processing, and on-device intelligence.
- Collaborate with AI researchers and product teams to turn complex machine learning models into intuitive, user-friendly experiences.
- Optimize app performance for responsiveness, scalability, and battery efficiency.
- Champion best practices in Android architecture, testing, and deployment.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
