Digital Twin Engineer

At Vintti, we specialize in providing US businesses with staffing solutions that feel local. By connecting companies with Latin American professionals operating in compatible time zones, we ensure that work schedules align naturally with US business hours. This temporal harmony facilitates immediate response times, efficient project management, and a cohesive team dynamic regardless of physical location.

A Digital Twin Engineer specializes in creating and managing virtual replicas of physical assets, processes, or systems. This role involves leveraging advanced technologies such as IoT, AI, and machine learning to develop digital models that simulate the behavior and performance of real-world counterparts. By integrating data from sensors and other sources, Digital Twin Engineers enable predictive analytics, optimize operations, and drive innovation in various industries. Their work is critical for enhancing efficiency, reducing costs, and improving decision-making processes through real-time monitoring and simulation.

- Bachelor’s degree in Engineering, Computer Science, Data Science, or related field
- 3+ years of experience in developing and maintaining digital twins or similar modeling and simulation roles
- Proficiency in programming languages such as Python, Java, or C++
- Strong understanding of machine learning and AI techniques
- Experience with data integration from IoT sensors and various data sources
- Ability to perform data analysis and simulations to derive actionable insights
- Familiarity with cloud platforms (e.g., AWS, Azure) and data management tools
- Strong problem-solving skills and ability to troubleshoot technical issues
- Experience with visualization tools such as Tableau, PowerBI, or similar
- Excellent communication skills to convey technical information to non-technical stakeholders
- Ability to work collaboratively in cross-functional teams
- Strong attention to detail and commitment to data accuracy and quality
- Understanding of cybersecurity principles related to data integration and exchange
- Knowledge of industry trends and emerging technologies related to digital twins
- Certification or training in relevant areas such as IoT, AI, machine learning, or cloud platforms (preferred)
- Strong documentation skills for capturing processes, methodologies, and technical specifications
- Ability to prioritize tasks and manage multiple projects simultaneously
- Strong organizational skills and ability to conduct regular maintenance and updates
- Experience in providing training and support to team members and stakeholders
- Willingness to stay current with industry trends and continuously upgrade skills through professional development courses, workshops, and conferences

- Develop and design digital twins of physical assets and systems
- Maintain and update digital twin models to reflect changes and enhancements
- Integrate data from various sensors and sources into digital twin models
- Perform simulations and analyses to predict performance and identify issues
- Optimize operations using insights derived from digital twin analyses
- Collaborate with cross-functional teams to gather requirements and validate models
- Implement machine learning and AI techniques to enhance predictive capabilities
- Monitor and manage real-time data feeds to ensure data quality
- Troubleshoot and resolve technical issues related to digital twin models
- Create reports and visualizations to communicate insights to stakeholders
- Update and refine models based on feedback and evolving needs
- Support the development and implementation of digital twin strategies and roadmaps
- Conduct regular system maintenance and updates
- Provide training and support to team members and stakeholders on digital twin tools
- Stay updated with industry trends and emerging technologies related to digital twins
- Coordinate with IT teams for secure and efficient data exchange
- Document processes, methodologies, and technical specifications

The ideal candidate for the Digital Twin Engineer role is a highly analytical and detail-oriented professional with a strong background in engineering, computer science, or a related field. With over 3 years of hands-on experience in developing and maintaining digital twins or similar modeling and simulation roles, they exhibit proficiency in programming languages like Python, Java, or C++, and possess a solid understanding of machine learning and AI techniques. This individual is adept at integrating data from various IoT sensors and sources, and excels in performing data analysis and simulations to derive actionable insights that optimize operations. Familiarity with cloud platforms (such as AWS or Azure), data management tools, and visualization tools (e.g., Tableau, PowerBI) further complements their technical expertise. They demonstrate excellent problem-solving skills, are committed to data accuracy and quality, and have strong organizational abilities to manage multiple projects simultaneously. Exceptional communication skills allow them to convey complex technical information to non-technical stakeholders effectively. The ideal candidate thrives in collaborative, cross-functional team environments, brings a strong understanding of cybersecurity principles related to data integration, and stays current with industry trends and emerging technologies. They are dedicated to continuous learning and professional development, are capable of conducting regular system maintenance and updates, and have a track record of providing training and support to team members and stakeholders. Their strong documentation skills ensure that processes, methodologies, and technical specifications are meticulously captured.

- Develop, design, and maintain digital twins of physical assets and systems
- Integrate data from various sensors and sources into digital twin models
- Perform simulations and analyses to predict performance, identify issues, and optimize operations
- Collaborate with cross-functional teams to gather requirements and validate digital twin models
- Utilize machine learning and AI techniques to enhance the predictive capabilities of digital twins
- Monitor and manage real-time data feeds and ensure data quality and consistency
- Troubleshoot and resolve technical issues related to digital twin models and their integration
- Prepare reports and visualizations to communicate insights and findings to stakeholders
- Update and refine digital twin models based on feedback and evolving requirements
- Support the development and implementation of digital twin strategies and roadmaps
- Conduct regular system maintenance and updates to ensure optimal performance
- Provide training and support to other team members and stakeholders on digital twin tools and methodologies
- Stay current with industry trends, emerging technologies, and best practices related to digital twins
- Coordinate with IT teams to maintain secure and efficient data exchange between systems
- Document processes, methodologies, and technical specifications related to digital twin development and deployment

- Analytical and detail-oriented mindset
- Strong problem-solving skills
- Excellent communication skills
- Ability to convey complex technical information to diverse audiences
- Proficiency in programming languages (Python, Java, C++)
- Solid understanding of machine learning and AI techniques
- Experience in integrating data from various IoT sensors
- Proven ability to derive actionable insights from data analysis
- Familiarity with cloud platforms and data management tools
- Strong collaboration skills for working with cross-functional teams
- Commitment to data accuracy and quality
- Strong organizational and time management skills
- Up-to-date knowledge of industry trends and emerging technologies
- Ability to prioritize tasks and manage multiple projects simultaneously
- Strong documentation skills
- Background in engineering, computer science, or a related field
- Demonstrated experience in developing and maintaining digital twins
- Ability to troubleshoot and resolve technical issues
- Commitment to continuous learning and professional development
- Ability to conduct regular system maintenance and updates
- Experience with visualization tools (Tableau, PowerBI)

- Competitive salary range based on experience and qualifications
- Comprehensive health, dental, and vision insurance plans
- Retirement savings plan with company matching
- Paid time off (PTO) and holiday leave
- Flexible working hours and remote work options
- Professional development and training opportunities
- Support for ongoing education and certification programs
- Wellness programs and fitness incentives
- Employee assistance programs for mental health and wellbeing
- Collaborative and inclusive workplace culture
- Career advancement opportunities within the organization
- Access to cutting-edge technology and tools for digital twin development
- Performance-based bonuses and incentives
- Paid parental leave and family-friendly policies
- On-site childcare facilities (if applicable)
- Company-sponsored events and team-building activities
- Travel and relocation assistance (if applicable)
- Company stock or equity options (if available)
- Access to company resources and networks for personal growth and mentoring