Software Engineer - AI Experiences

General Information

Req # WD

Career area:
Software Engineering

Country/Region:
United States of America

State:
North Carolina

City:
Morrisville

Date:
Friday, July 31, 2026

Working time:
Full-time

• United States of America
  - Illinois
  - Chicago

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US $83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.

Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our Story Hub.

Lenovo is building Qira, a next-generation hybrid AI platform that spans Windows, Android, and cloud. We are hiring a Staff Engineer to drive the technical design, implementation, and delivery of critical AI features on Windows and Android devices.

This role is essential to building scalable, performant, and secure AI capabilities that power next-generation user experiences across laptops, tablets, and cross-device ecosystems. Your work will directly impact millions of users worldwide.

We recently introduced Qira, our new cross-device Personal AI that works seamlessly across Lenovo and Motorola products. More information can be found here:
Lenovo Unveils Qira

Onsite in Chicago, IL (3 days onsite, 2 days remote)

• Lead Feature Architecture:
  Drive the technical vision, design, and implementation of high-impact AI features that seamlessly bridge Windows and Android applications.
• Deliver High-Quality Product:
  Architect and ship robust, scalable capabilities by leveraging our core UI framework, allowing your team to accelerate the rollout of cutting-edge features.
• Ensure Technical Excellence:
  Uphold engineering standards, best practices, and code quality metrics within your feature domain to ensure the UI feels highly responsive and native across a variety of device specifications.
• Collaborate Cross-Functionally:
  Partner closely with product managers, designers, and foundational platform engineers to translate complex user interactions into polished, production-ready features.
• Navigate Complexity:
  Balance the need for cross-platform code maintainability with the need for native-level performance and hardware optimization for the capabilities you own.
• Mentor and Elevate:
  Act as a force multiplier within your team, mentoring mid-level and senior engineers and guiding feature work to foster a culture of innovation, problem-solving, and continuous improvement.
• Anticipate Challenges:
  Proactively identify technical bottlenecks and system constraints within your product area and head them off before they impact delivery.

• Experience:
  
  5+ years of software engineering experience, with a proven track record of operating at a Senior level or above, leading technical design for complex application features.
• Education:
  
  Bachelor's Degree in Engineering, Computer Science, or a related technical discipline.
• Cross-Platform Expertise:
  Strong hands-on experience building multi-platform features using shared UI/UX codebases and frameworks like React Native, Flutter, or Kotlin Multiplatform.
• Native Platform Depth:
  Experience in either Android (Kotlin) or Windows (C#, WinUI, or WPF) application life cycles, UI rendering pipelines, and memory management.
• Feature Architecture:
  Experience architecting complex features or sub-systems that successfully balance code reuse with native-level performance and responsiveness.
• Delivery Track Record:
  Experience taking major product capabilities from initial concept through to deployment in either consumer or enterprise environments.

• AI Integration:
  Experience designing and building user interfaces that handle generative and agentic AI interactions, including mitigating time-to-first-token latency and integrating with local and/or cloud-based LLMs.
• Collaboration:
  
  Proven ability to drive technical alignment within a feature squad and collaborate effectively across distributed, time-zone separated engineering teams.
• Product Focus:
  Passion for product engineering, delivering exceptional user experiences, and staying current with emerging technologies.

The base salary…