General Information

Req #
WD00094413
Career area:
Hardware Engineering
Country/Region:
China
State:
Shanghai
City:
上海(Shanghai)
Date:
Tuesday, February 3, 2026
Working time:
Full-time
Additional Locations
* China - Shanghai - 上海(Shanghai)

Why Work at Lenovo

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). 

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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

The Role

We are seeking a Senior On-Device AI Development Engineer specializing in Personal AI—an expert who blends deep technical expertise in on-device AI with a product-centric mindset. You will develop reusable and modular components on an unified Lenovo AI stack, ensuring high performance, low latency, and efficient resource utilization, to empower the business units . You won’t just execute tasks; you’ll contribute to the technical direction, and build solutions that align with real user needs and business goals. As a key member of the team, you’ll stay ahead of cutting-edge AI trends and translate them into practical, on-device innovations.


What You’ll Do
· Design and develop end-to-end on-device AI prototypes, leveraging expertise in agent orchestration and development frameworks to deliver functional, user-centric solutions.

· Build reusable technical blocks and frameworks for on-device AI, enabling scalability across Lenovo’s product portfolio.

· Optimize models with knowledge of fine-tuning to ensure optimal performance

· Architect and implement cross-platform on-device AI job scheduling mechanisms, enabling seamless execution across diverse hardware and OS environments.

· Collaborate with cross-functional stakeholders (product managers, hardware teams, software engineers) to translate business and user goals into technical requirements and actionable development plans.

· Define and track key metrics (latency, resource utilization, accuracy, power efficiency) to measure prototype and product performance, iterating to drive continuous improvement.

· Stay at the forefront of on-device AI advancements, evaluating new tools, techniques, and frameworks, and advising the team on adoption to maintain technical leadership.

· Communicate complex technical concepts clearly to both technical and non-technical stakeholders, ensuring alignment throughout the development lifecycle.

Qualifications Required (The Must-Haves)

· At least 3 years + experience in personal AI industry

· Proven expertise in on-device AI agent orchestration and proficiency with relevant development frameworks.

· Deep experience with on-device AI inference platforms, with knowledge of on-device model optimization (quantization, pruning, fine-tuning)

· Proficiency in cross-platform on-device AI job scheduling mechanisms, with a track record of delivering solutions across diverse hardware/OS environments. · A scrappy, solutions-oriented mindset with experience thriving in fast-paced, ambiguous environments.

· Expert-level programming skills in Python, Kotlin and C/C++.

· Be able to prototype quickly based on proficient use of AI tools.

· Strong learning agility to keep pace with the rapid evolution of on-device AI technologies and industry trends.

· Excellent communication and presentation skills, with the ability to collaborate effectively in cross-functional teams and articulate technical ideas clearly.

· Fluent spoken English and proficient written English.

· Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

Preferred (The Ideal Hire)

· Knowledge or background in Enterprise AI products

· Experience in AI user scenarios across enterprise and on-device

· Familiarity with modern AI stacks (PyTorch/TensorFlow, Hugging Face, vector databases) and cloud AI/ML services (AWS, GCP, Azure) for hybrid on-device/cloud solutions.

Additional Locations
* China - Shanghai - 上海(Shanghai)
* China
* China - Shanghai
* China - Shanghai - 上海(Shanghai)