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Mobile Software Engineer Hybrid

Cisco

Durham · Hybrid Full-time Mid Level $127k – $252k/yr 1w ago

About the role

Application Window

  • The application window is expected to close on: 04/27/2026
  • Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
  • This is a hybrid position.

Meet the Team

Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI‑powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security – partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale.

We are a fast‑growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader.

Your Impact

  • Design, build, and maintain high‑performance native iOS and Android applications using Swift/SwiftUI and Kotlin/Jetpack Compose, while sharing business logic across platforms via Kotlin Multiplatform (KMP/KMM). This role serves as the primary mobile interface for our enterprise AI platform.

    • Design and architect high‑performance native applications
    • Share domain, data, and networking logic across platforms using Kotlin Multiplatform (KMP/KMM), while keeping all UI layers fully native per platform
    • Build native Android applications using Kotlin and Jetpack
    • Build native iOS applications using Swift and SwiftUI
  • Integrate Advanced AI Workflows

    • Connect mobile clients (iOS and Android) to backend agentic frameworks (e.g., LangGraph), ensuring seamless execution on mobile devices
  • Develop Intelligent Chat Interfaces

    • Move beyond standard text input by incorporating multi‑modal capabilities and proactive UI components that respond to real‑time data implemented natively on both platforms
  • Optimize Data Synchronization and Local Persistence

    • Handle large‑scale datasets using Core Data or SwiftData on iOS, and equivalent Android persistence solutions (e.g., Room) on Android, with shared data logic abstracted through KMP where applicable
  • Collaborate on Prompt Engineering Strategies

    • Partner with AI teams on mobile‑specific prompt engineering, ensuring LLM responses are formatted and optimized for small‑screen interactions and mobile‑first user journeys on both platforms
  • Maintain Technical Excellence

    • Produce comprehensive documentation of the mobile architecture, KMP module structure, API integrations, and state management logic to ensure team scalability across both platforms

Minimum Qualifications

  • Bachelor’s Degree in Computer Science, Software Engineering, or a related technical field and 4+ years of professional experience in native iOS development using Swift and SwiftUI
  • 2+ years of professional experience in native Android development using Kotlin and Jetpack Compose
  • Hands‑on experience with Kotlin Multiplatform (KMP/KMM) for sharing business logic (domain, data, networking layers) across iOS and Android while maintaining native UIs
  • Experience integrating GenAI APIs (e.g., OpenAI, Anthropic, or internal LLM gateways) into mobile applications on one or both platforms
  • Strong understanding of asynchronous programming (Async/Await, Combine on iOS; Coroutines/Flow on Android) and networking protocols (REST, WebSockets, gRPC) for real‑time AI streaming
  • Demonstrated expertise in mobile UI/UX principles, specifically in creating intuitive interfaces for complex data or chat‑based workflows across both platforms
  • Strong technical writing skills with a commitment to documenting code, architectural decisions, and API contracts

Preferred Qualifications

On‑Device AI Experience

  • iOS: Familiarity with CoreML and Apple Intelligence APIs.
  • Android: Familiarity with Google ML Kit, MediaPipe, or local LLM execution on Android.
  • Cross‑platform: Experience with local LLM execution strategies abstracted via KMP

Cloud Integration

  • Knowledge of GCP‑based mobile services (Firebase, Google Cloud Functions) and BigQuery integration applicable to both iOS and Android clients

Agentic Framework Knowledge

  • Understanding of LangGraph or LangChain concepts to better collaborate with backend AI engineers

Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

Compensation & Benefits (U.S. and Canada)

  • Starting salary range: $126,500.00 to $182,000.00 (reflects projected salary range for new hires in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits).
  • Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training.

Benefits (U.S. employees)

  • Medical, dental, and vision insurance
  • 401(k) plan with Cisco matching contribution
  • Paid parental leave
  • Short and long‑term disability coverage
  • Basic life insurance
  • Potential grants of Cisco restricted stock units (vesting with continued employment)

Paid Time Away

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non‑exempt employees

  • 1 paid day off for employee’s birthday, paid year‑end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non‑exempt employees: 16 days of paid vacation per full calendar year (accrued at 4.92 hours per pay period)

  • Exempt employees: Flexible vacation time off program (no defined limit, subject to availability and business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, with up to 80 hours of unused sick time carried forward

  • Additional paid time away may be requested for critical or emergency family issues

  • Optional 10 paid days per full calendar year to volunteer

  • For non‑sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Sales Incentive Compensation (Non‑Sales Roles Not Applicable)

Employees on sales plans earn performance‑based incentive pay on top of their base salary, split between quota and non‑quota components, subject to the applicable Cisco plan. For quota‑based incentive pay, Cisco typically pays as follows:

  • 0.75% of incentive target for each 1% of revenue attainment up to 50% of quota
  • 1.5% of incentive target for each 1% of attainment between 50% and 75%
  • 1% of incentive target for each 1% of attainment between 75% and 100%
  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation

For non‑quota‑based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

Salary Ranges by Location

  • New York City Metro Area: $152,500.00 – $252,000.00
  • Non‑Metro New York State & Washington State: $135,800.00 – $224,400.00

For quota‑based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

  • Employees in Illinois, whether exempt or non‑exempt, will participate in a unique time‑off program to meet local requirements.

Requirements

  • Bachelor's Degree in Computer Science, Software Engineering, or a related technical field
  • 4+ years of professional experience in native iOS development using Swift and SwiftUI
  • 2+ years of professional experience in native Android development using Kotlin and Jetpack Compose
  • Hands-on experience with Kotlin Multiplatform (KMP/KMM) for sharing business logic (domain, data, networking layers) across iOS and Android while maintaining native UIs
  • Experience integrating GenAI APIs (e.g., OpenAI, Anthropic, or internal LLM gateways) into mobile applications on one or both platforms
  • Strong understanding of asynchronous programming (Async/Await, Combine on iOS; Coroutines/Flow on Android) and networking protocols (REST, WebSockets, gRPC) for real-time AI streaming
  • Demonstrated expertise in mobile UI/UX principles, specifically in creating intuitive interfaces for complex data or chat-based workflows across both platforms
  • Strong technical writing skills with a commitment to documenting code, architectural decisions, and API contracts

Responsibilities

  • Design, build, and maintain high-performance native iOS and Android applications using Swift/SwiftUI and Kotlin/Jetpack Compose, while sharing business logic across platforms via Kotlin Multiplatform (KMP/KMM).
  • Design and Architect High-Performance Native Applications
  • Share domain, data, and networking logic across platforms using Kotlin Multiplatform (KMP/KMM), while keeping all UI layers fully native per platform
  • Build native Android applications using Kotlin and Jetpack
  • Build native iOS applications using Swift and SwiftUI
  • Connect mobile clients (iOS and Android) to backend agentic frameworks (e.g., LangGraph), ensuring seamless execution on mobile devices
  • Incorporate multi-modal capabilities and proactive UI components that respond to real-time data implemented natively on both platforms
  • Handle large-scale datasets using Core Data or SwiftData on iOS, and equivalent Android persistence solutions (e.g., Room) on Android, with shared data logic abstracted through KMP where applicable
  • Partner with AI teams on mobile-specific prompt engineering, ensuring LLM responses are formatted and optimized for small-screen interactions and mobile-first user journeys on both platforms
  • Produce comprehensive documentation of the mobile architecture, KMP module structure, API integrations, and state management logic to ensure team scalability across both platforms

Benefits

medical insurancedental insurancevision insurance401(k) planpaid parental leaveshort-term disability coveragelong-term disability coveragebasic life insurancepaid holidaysfloating holidaypaid day off for employee’s birthdaypaid year-end holiday shutdownpaid days off for personal wellnesspaid vacation timesick time offpaid time awayannual bonuses

Skills

AndroidAsync/AwaitCombineCore DataCoreMLCoroutinesFirebaseFlowgRPCGoogle Cloud FunctionsGoogle ML KitJetpack ComposeKMP/KMMKotlinLangChainLangGraphMediaPipeOpenAIRESTRoomSwiftSwiftDataSwiftUIWebSockets

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