Overview
This position will be responsible for leading a team of engineers in developing and deploying intelligent systems and environments (IoT, MLOps, Visualization, and Simulations) that drive productivity, quality, logistics, and manufacturing advancements within a software-defined factory.
This leader will be a key contributor to the Technology Innovation Group, ensuring the team's work aligns with Hyundai Motor Group's vision.
What To Expect
- At-Scale Deployment of Digital Systems: Evaluate and define requirements for deploying IoT, AI and simulation technologies at scale.
Leverage cloud platforms (AWS, Azure, GCP) and on-premise solutions for secure and scalable deployments.
- Solution Design and Architecture: Architect solutions integrating IoT platforms (e.g., Thingworx, Kepware) with public/private cloud infrastructure.
Incorporate AI, MLOps, LLMOps, and simulation tools like Nvidia Omniverse to create intelligent systems.
Provide abstract representations of organizational data needs and design comprehensive data management strategies.
Develop architectures for data lakes, warehouses, and marts to unify data assets for analytics.
- Data Governance and Security: Implement governance policies ensuring compliance with regulations (e.g., GDPR).
Establish robust data quality control measures to maintain accuracy and accessibility.
- Technical Leadership: Lead cross-functional teams of developers, database administrators, and engineers.
Act as a liaison between digital transformation teams and IoT/data engineers to align technical efforts with business goals.
- Project Management: Assess existing systems for weaknesses and identify skill sets, manpower, and timelines necessary for successful implementation.
Oversee development while ensuring ongoing system maintenance.
What You'll Bring
- Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
- At least 13 years of experience in IT/OT Systems, data architecture and technologies
- Proficiency in programming languages such as Python, SQL, Java, and C++
- Deep understanding of database management systems and data modeling techniques
- Experience with Big Data technologies, cloud computing platforms, and data analytics tools
- Strong project management and time management abilities
- Excellent communication skills to collaborate with various stakeholders
- Develop data pipeline processes to move data from OLTP to OLAP systems
- Familiarity with SCADA and proficiency in standard communication protocols
- Technical skills in Docker, CI/CD Pipeline, C#, Java, Spring Boot, Vue.js, React.js
Seniority level
Employment type
Job function
- Engineering and Information Technology
- Industries: Motor Vehicle Manufacturing
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