Lenovo
Overview
Lenovo is seeking an experienced Software Engineer to lead the integration and implementation of Small Language Model (SLM) inferencing for our next-generation AI systems onto Android devices. If you are passionate about making Smarter Technology for All, come help us realize our Hybrid AI vision!
Responsibilities
Design, implement, and maintain core agent runtimes responsible for dynamic model loading and lifecycle management on Android devices.
Schedule, prioritize, and queue model inference requests.
Develop information retrieval, data preprocessing, and context preparation pipelines.
Develop system integrations to support interoperability between Android applications, services, and AI runtime components.
Implement security and privacy controls, including process isolation, app sandboxing, audit logging, and compliance with enterprise-grade mobile security standards.
Optimize runtime performance for latency, throughput, and memory footprint across heterogeneous compute platforms (CPU, GPU, NPU/DSP) and across various vendor AI runtimes (e.g., Qualcomm AI Engine, MediaTek EdgeAI).
Embed safety and interpretability features into the stack, including guardrails, telemetry, and explainability mechanisms.
Contribute to platform reliability, including fault tolerance, error handling, and automated recovery strategies.
Collaborate with cross-functional teams (AI researchers, product managers, QA, and DevOps) to deliver robust, production-ready solutions.
Mentor junior engineers by providing technical guidance, conducting code reviews, and supporting onboarding.
Author technical documentation and best practices, contributing to internal knowledge bases, design proposals, and architecture reviews.
Required Qualifications
Expertise in
Android development , including Android SDK, NDK, AIDL, and Binder IPC.
Strong understanding of
Android application and system security
best practices (e.g., app sandboxing, SELinux, secure coding, permission models).
Strong programming skills in
Kotlin/Java
for Android application and service integration.
Proficiency in
C/C++
for Android NDK/system-level development.
Preferred Qualifications
Familiarity with mobile AI runtimes such as ONNX, TensorFlow Lite, Qualcomm AI Engine, and MediaTek EdgeAI.
Working knowledge of
Python and deep learning frameworks
such as PyTorch.
Strong problem-solving and debugging skills in complex, multi-threaded environments.
Experience with
GGML, GGUF, and llama.cpp
for local model inference.
Experience with
Kotlin Multiplatform (KMP)
or other cross-platform development frameworks.
Contributions to open-source AI runtimes, libraries, or Android utilities.
Background in performance optimization, compiler toolchains, or low-level hardware acceleration.
Experience building AI features for consumer mobile apps at scale.
#AAITC
Equal Opportunity 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, veteran status, disability, or any other protected class.
Additional Locations
* United States of America - North Carolina - Morrisville
* United States of America
* United States of America - North Carolina
#J-18808-Ljbffr
Responsibilities
Design, implement, and maintain core agent runtimes responsible for dynamic model loading and lifecycle management on Android devices.
Schedule, prioritize, and queue model inference requests.
Develop information retrieval, data preprocessing, and context preparation pipelines.
Develop system integrations to support interoperability between Android applications, services, and AI runtime components.
Implement security and privacy controls, including process isolation, app sandboxing, audit logging, and compliance with enterprise-grade mobile security standards.
Optimize runtime performance for latency, throughput, and memory footprint across heterogeneous compute platforms (CPU, GPU, NPU/DSP) and across various vendor AI runtimes (e.g., Qualcomm AI Engine, MediaTek EdgeAI).
Embed safety and interpretability features into the stack, including guardrails, telemetry, and explainability mechanisms.
Contribute to platform reliability, including fault tolerance, error handling, and automated recovery strategies.
Collaborate with cross-functional teams (AI researchers, product managers, QA, and DevOps) to deliver robust, production-ready solutions.
Mentor junior engineers by providing technical guidance, conducting code reviews, and supporting onboarding.
Author technical documentation and best practices, contributing to internal knowledge bases, design proposals, and architecture reviews.
Required Qualifications
Expertise in
Android development , including Android SDK, NDK, AIDL, and Binder IPC.
Strong understanding of
Android application and system security
best practices (e.g., app sandboxing, SELinux, secure coding, permission models).
Strong programming skills in
Kotlin/Java
for Android application and service integration.
Proficiency in
C/C++
for Android NDK/system-level development.
Preferred Qualifications
Familiarity with mobile AI runtimes such as ONNX, TensorFlow Lite, Qualcomm AI Engine, and MediaTek EdgeAI.
Working knowledge of
Python and deep learning frameworks
such as PyTorch.
Strong problem-solving and debugging skills in complex, multi-threaded environments.
Experience with
GGML, GGUF, and llama.cpp
for local model inference.
Experience with
Kotlin Multiplatform (KMP)
or other cross-platform development frameworks.
Contributions to open-source AI runtimes, libraries, or Android utilities.
Background in performance optimization, compiler toolchains, or low-level hardware acceleration.
Experience building AI features for consumer mobile apps at scale.
#AAITC
Equal Opportunity 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, veteran status, disability, or any other protected class.
Additional Locations
* United States of America - North Carolina - Morrisville
* United States of America
* United States of America - North Carolina
#J-18808-Ljbffr