Advisory Software Engineer

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

• This is a hybrid role, on site in our Morrisville, NC office at least 3 days per week. ***

Description

Lenovo Research is looking for an experienced Software Engineer to join our On-Device Intelligence team within the broader PC Innovation and Ecosystem organization. This US-based team develops software and runtime capabilities that enable AI models to run efficiently and reliably on Lenovo PCs by combining on-device inference, internal PC sensor signals, and intelligent user-context algorithms. In this role, you will design, implement, optimize, and debug production-quality software for on-device AI model deployment and runtime execution. You will work closely with researchers, platform engineers, and product teams to integrate AI models into Windows-based PC experiences, improve latency, memory usage, power efficiency, and system reliability, and turn research concepts into robust prototypes, demos, and product-ready components.

 

What You’ll Do

In this role, you will design, implement, optimize, and debug production-quality software for on-device AI model deployment and runtime execution. You will work closely with researchers, platform engineers, and product teams to integrate AI models into Windows-based PC experiences, improve latency, memory usage, power efficiency, and system reliability, and turn research concepts into robust prototypes, demos, and product-ready components.

This is a hybrid role, on site in our Morrisville, NC office at least 3 days per week.

Basic Qualifications

• BS or MS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
• 5+ years of professional software development experience, preferably building Windows applications, system components, SDKs, services, or runtime software
• Strong programming skills in C++ and Python, with solid understanding of data structures, algorithms, debugging, multithreading, optimization, and design
• Hands-on experience deploying, integrating, or optimizing AI/ML models for on-device or edge inference environments
• Experience working with AI inference runtimes or model deployment frameworks such as ONNX Runtime, TFLite, PyTorch Mobile, DirectML, OpenVINO, RyzenAI or similar technologies
• Understanding of model deployment tradeoffs including latency, memory footprint, power consumption, accuracy, hardware acceleration, and runtime stability

Preferred Qualifications

• Experience building AI runtime components, inference pipelines, model loading/execution flows, or abstraction layers for multiple model formats and hardware backends
• Experience with model optimization techniques such as quantization, pruning, distillation, operator fusion, batching, caching, or hardware-specific acceleration
• Familiarity with PC, edge, or embedded hardware acceleration technologies such as CPU, GPU, NPU, DSP, DirectML, CUDA, OpenCL, or vendor-specific AI accelerators
• Experience integrating AI features into Windows applications, background services, device software, or user-facing PC experiences
• Strong engineering practices, including Git, unit testing, profiling, CI/CD, code review, technical documentation, and cross-functional collaboration

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.