OS System Design Manager

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

Lenovo is a US $69 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).

Lenovo is building the next generation of intelligent device experiences powered by Qira
, our cross‑device Personal AI platform. As part of this transformation, we are hiring an OS System Design Manager to lead the architecture and system design of core OS‑level components spanning Linux, Android, Windows, and RTOS‑based platforms
.

This role focuses on designing and integrating HAL, middleware, system services, and OS‑level abstractions that enable consistent, scalable, and secure experiences across Lenovo and Motorola devices. You will provide technical leadership, drive system‑level innovation, and guide a highly skilled engineering team responsible for delivering foundational system components.

The preferred working locations are Chicago, IL or San Jose, CA.

• Lead system architecture and design across multi‑OS environments (Linux, Android, Windows, RTOS), focusing on HAL and middleware layers.
• Define and evolve OS‑level abstractions, system services, and framework‑facing interfaces that deliver consistent capabilities across diverse device platforms.
• Drive integration of system components with vendor HALs, silicon‑specific interfaces, and low‑level drivers across multiple operating systems.
• Collaborate with AI, product, firmware, hardware, and platform teams to ensure scalable and unified system designs.
• Deliver platform solutions that meet stringent performance, reliability, latency, and power goals across various hardware architectures.
• Oversee technical execution including design reviews, system bring‑up, debugging, and integration readiness for production platforms.
• Manage and grow a team of system engineers, fostering strong execution, technical depth, and platform expertise.
• Stay current with advances in OS architectures, HAL design patterns, system optimization approaches, and multi‑OS best practices.

• 12+ years of hands‑on engineering experience in OS level software, system design, HAL, or middleware development across Linux, Android, Windows, or RTOS platforms.
• Bachelor’s degree in Engineering is required.
• 3+ years of people‑management experience, leading platform or system engineering teams.
• Strong understanding of framework ↔ system service ↔ HAL ↔ driver interactions across multiple operating systems.
• Proficiency in C/C++ for embedded and system‑level development and familiarity with Java/Kotlin/C#/Rust as applicable to different OS environments.
• Proven experience delivering system‑level components for consumer‑grade devices (phones, tablets, PCs, IoT, embedded).
• Deep understanding of OS fundamentals including process models, memory management, IPC, scheduling, performance, power optimization, and system security.
• Demonstrated ability to lead teams through system architecture decisions, cross‑platform debugging, and production‑quality delivery.
• Strong communication skills with the ability to translate product requirements into scalable multi‑OS system architectures.

• Experience with HAL design, middleware frameworks, and system services across diverse OS platforms.
• Master’s Degree in Engineering is preferred.
• Background working with silicon vendors.
• Familiarity with AI‑enabled system features, sensor frameworks, data‑flow optimization, or on‑device processing pipelines.
• Exper…