Subsystem AI Engineer

Lenovo - Morrisville, NC

Full-time - Mid Level

Morrisville, NC

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

The Subsystem AI Engineer at Lenovo will play a pivotal role in enhancing the user experience of our PC devices by leveraging data generated from various subsystems, particularly focusing on battery and wireless functionalities. This position requires a deep understanding of machine learning and artificial intelligence to develop algorithms that can efficiently utilize the data collected from these subsystems. The engineer will collaborate closely with suppliers and system development teams to identify the necessary data and ensure its effective application in improving device performance. In this role, the engineer will analyze battery usage data to model user behavior, identifying patterns and differences across various brands and geographical locations. This analysis will not only help in understanding how users interact with battery power but also in developing strategies to optimize battery life and performance. Additionally, the engineer will work on enhancing Wi-Fi connectivity by utilizing on-board telemetry data, ensuring that users have a seamless and reliable internet experience. The position also involves evaluating qualification data against field data to refine testing processes, ensuring that our products meet the highest standards of quality and efficiency. A key project will be driving the AI Battery charge control proof of concept (PoC) to implementation, integrating it with the broader system architecture to deliver innovative solutions that enhance user satisfaction and device reliability.

Responsibilities

• Leverage battery data to model user behavior regarding battery power usage.
• Develop methods to improve Wi-Fi connectivity experience using on-board telemetry.
• Evaluate qualification data against field data to ensure efficient and accurate testing processes.
• Drive the AI Battery charge control proof of concept to implementation and integration with broader system architecture.
• Collaborate with suppliers and system development teams to identify and expose necessary data for analysis.
• Work with other business groups such as Services and Quality to enhance overall product performance.

Requirements

• Strong background in machine learning and artificial intelligence.
• Experience with data analysis and modeling, particularly in relation to battery and wireless systems.
• Ability to collaborate effectively with cross-functional teams and suppliers.
• Proficiency in developing algorithms for data utilization and performance improvement.
• Familiarity with telemetry data and its application in enhancing user experience.

Nice-to-haves

• Experience in hardware engineering or related fields.
• Knowledge of PC subsystems and their functionalities.
• Familiarity with quality assurance processes and testing methodologies.

Benefits

• Competitive salary and performance bonuses.
• Health insurance coverage.
• 401(k) retirement savings plan with company matching.
• Paid time off and holidays.
• Opportunities for professional development and continued education.