Monolithic Power Systems, Inc. (MPS) is one of the fastest growing companies in the Semiconductor industry. We are worldwide technical leaders in Integrated Power Semiconductors and Systems Power delivery architectures. At MPS, we cultivate creativity, are passionate about sustainability, and are committed to providing leading-edge products and innovation to our customers. Our portfolio of technology helps power our world ---come join our team and see how YOU can make a difference.
Job Description:
Summary:
Implement, manage, support/maintain the data application and security of AI in MPS.
RESPONSIBILITIES:
- Responsible for end-to-end data processes for AI projects, including data collection, cleaning, labeling, augmentation, and the construction and management of high-quality datasets.
- Develop and optimize data labeling tools, supporting data preparation required for large model training (e.g., SFT, RM data) and knowledge graph construction.
- Collaborate with AI teams to improve LLMs performance through data solutions.
- Other assignments from Supervisor.
REQUIREMENTS:
- Data Capabilities: Proficient in Python, SQL, and data processing technologies like Pandas/Spark; possesses experience in the secondary development of data labeling tools.
- AI Knowledge: Familiar with machine learning data formats and requirements; understanding of LLMs data construction methods; mastery of data augmentation techniques.
- Comprehensive Qualities: High standards for data quality; excellent communication skills; ability to accurately understand algorithm and business requirements.
- Good people and communication skills (English, Chinese).
Monolithic Power Systems, Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
Skills Required
- Proficient in Python, SQL, and data processing technologies like Pandas/Spark
- Experience in the secondary development of data labeling tools
- Familiar with machine learning data formats and requirements
- Understanding of LLMs data construction methods
- Mastery of data augmentation techniques
- High standards for data quality
- Excellent communication skills
- Ability to accurately understand algorithm and business requirements
- Good people and communication skills (English, Chinese)
Monolithic Power Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Monolithic Power Systems and has not been reviewed or approved by Monolithic Power Systems.
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Strong & Reliable Incentives — Bonuses and patent incentives are emphasized as core parts of compensation, with recurring performance-based payouts described as a meaningful upside. Incentive structures appear embedded in technical roles alongside long-term stock components.
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Equity Value & Accessibility — Equity is available through long‑term stock incentives and a discounted ESPP, and some describe strong stock performance in recent years as boosting total compensation. Equity opportunities are positioned as part of the standard rewards mix for eligible roles.
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Healthcare Strength — Health coverage is portrayed as rich and comprehensive, including medical, dental, and vision alongside company‑paid life and disability. Wellness offerings such as onsite fitness, flu clinics, and annual health checkups reinforce overall benefits depth.
Monolithic Power Systems Insights
What We Do
Monolithic Power Systems, Inc. (MPS) provides small, highly energy efficient, easy-to-use power solutions for systems found in industrial applications, telecom infrastructures, cloud computing, automotive, and consumer applications. MPS' mission is to reduce total energy consumption in our customers' systems and service our customers with green, practical, compact solutions. MPS can be contacted through its website at www.monolithicpower.com or its support offices around the world. The company was founded by Michael R. Hsing in 1997 and is headquartered in Kirkland, Washington. Note: Monolithic Power Systems only communicates through official channels. Be cautious of unsolicited messages or job offers using similar domain names.
