Lenovo is building Quantum, a next-generation hybrid AI platform that spans Windows, Android, and cloud. We are hiring a Systems & Design Lead/Manager to drive the architecture, system design, and platform integration of AI experiences on Windows-based Lenovo devices.
This role is critical to delivering scalable, performant, and secure AI systems 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:
What You'll Do
Lead system architecture and design for AI-driven features on Windows/Android platforms, from concept through production
Define and evolve end-to-end system designs, including OS integration, services, APIs, and device-level capabilities
Drive the integration of on-device and hybrid AI systems with device frameworks, ensuring performance, reliability, and scalability
Partner with AI, firmware, cloud, and application teams to deliver cohesive cross-device experiences across Lenovo and Motorola products
Design system-level solutions for resource management, security, privacy, and performance optimization on Windows devices
Influence technical direction for AI platform capabilities on PC/Phones, aligning with Lenovo’s broader Quantum and Qira strategy
Mentor engineers and provide technical leadership across system design, architectural reviews, and best practices
Stay current with AI device platform evolution, AI system design trends, and emerging device capabilities
Basic Qualifications
7+ years of experience in system architecture, platform engineering, or large-scale software design
Bachelor’s Degree in Engineering, Computer Science, or a related technical discipline
Solid understanding of OS-level concepts, including processes, memory, performance, security, and system services
Programming experience in C++, C#, Python, or Java/Kotlin
Experience shipping production systems at scale on consumer devices
Strong system design skills with the ability to translate product requirements into robust technical architectures
Preferred Qualifications
Strong experience designing and delivering Windows-based systems or platform-level software
Experience building or integrating AI/ML systems on Windows (on-device, hybrid, or cloud-assisted)
Familiarity with Windows internals, Win32/UWP/Windows App SDK, or/and Android Application and system development
Experience with cross-device or multi-platform system design (Windows + Android + cloud)
Background in performance optimization, power management, or security design for client devices
Passion for platform engineering, system design excellence, and staying current with emerging technologies
This role is critical to delivering scalable, performant, and secure AI systems 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:
What You'll Do
Lead system architecture and design for AI-driven features on Windows/Android platforms, from concept through production
Define and evolve end-to-end system designs, including OS integration, services, APIs, and device-level capabilities
Drive the integration of on-device and hybrid AI systems with device frameworks, ensuring performance, reliability, and scalability
Partner with AI, firmware, cloud, and application teams to deliver cohesive cross-device experiences across Lenovo and Motorola products
Design system-level solutions for resource management, security, privacy, and performance optimization on Windows devices
Influence technical direction for AI platform capabilities on PC/Phones, aligning with Lenovo’s broader Quantum and Qira strategy
Mentor engineers and provide technical leadership across system design, architectural reviews, and best practices
Stay current with AI device platform evolution, AI system design trends, and emerging device capabilities
Basic Qualifications
7+ years of experience in system architecture, platform engineering, or large-scale software design
Bachelor’s Degree in Engineering, Computer Science, or a related technical discipline
Solid understanding of OS-level concepts, including processes, memory, performance, security, and system services
Programming experience in C++, C#, Python, or Java/Kotlin
Experience shipping production systems at scale on consumer devices
Strong system design skills with the ability to translate product requirements into robust technical architectures
Preferred Qualifications
Strong experience designing and delivering Windows-based systems or platform-level software
Experience building or integrating AI/ML systems on Windows (on-device, hybrid, or cloud-assisted)
Familiarity with Windows internals, Win32/UWP/Windows App SDK, or/and Android Application and system development
Experience with cross-device or multi-platform system design (Windows + Android + cloud)
Background in performance optimization, power management, or security design for client devices
Passion for platform engineering, system design excellence, and staying current with emerging technologies