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Your Title: Control System Data Engineer
Job Location: Christchurch New Zealand
Our Department: Agriculture Industry Solutions (AgIS)
Trimble is seeking a highly motivated and skilled Control System Data Engineer to join our team in Christchurch New Zealand. This role will be instrumental in the development of advanced control system solutions with a primary focus on all aspects of data management and analysis essential for control system design validation and ongoing development. While the role supports motion control applications your core responsibility will revolve around ensuring the availability quality and insightful analysis of data to drive robust control system performance. Youll work with real-world data from off-highway industrial machinery contributing to cutting-edge autonomous and semi-autonomous solutions.
Develop and implement data logging solutions for various control system parameters and sensor data.
Design and maintain efficient data storage architectures for large datasets ensuring data integrity and accessibility.
Perform comprehensive data analytics to identify trends anomalies and insights relevant to control system performance and plant behavior.
Contribute to system identification efforts to develop accurate plant models for control system design and simulation.
Support the design validation and refinement of control algorithms through data-driven analysis.
Develop and optimize highly efficient and effective scripting solutions for data processing analysis and visualization.
Collaborate with senior engineers to understand data requirements for control system development and testing.
Assist in evaluating control system performance in simulations and real-world environments using collected data.
Bachelor of Science (.) in Mechanical Electrical Mechatronics Aerospace or a related engineering field.
Demonstrated strong scripting skills (e.g. Python MATLAB) for efficient data manipulation analysis and visualization.
Understanding of fundamental control system concepts and their application.
Experience with data logging and acquisition techniques.
Familiarity with various data storage methods and best practices.
Ability to perform data analysis to extract meaningful insights.
Strong problem-solving abilities and attention to detail.
Exposure to machine learning technologies and their potential applications in control systems or data analysis.
Experience with MATLAB/Simulink for data analysis and potential model development.
Familiarity with system identification principles and tools.
Basic understanding of motion control systems.
Any practical experience with data from industrial or off-highway machinery.
About Trimble Ag Industry Solutions
Trimble Ag Industry Solutions provides GNSS and Control System-based hardware and software technologies for implementing customer solutions including those for the PTx Trimble JV with Agco as well as for Trimble Civil and Construction product portfolio.
Dedicated to the worlds tomorrow Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure build grow and move goods for a better quality of life. Core technologies in positioning modeling connectivity and data analytics connect the digital and physical worlds to improve productivity quality safety transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services Trimble is transforming critical industries such as construction geospatial agriculture and transportation to power an interconnected world of work. For more information about Trimble (NASDAQ: TRMB) visit:
Trimbles Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us that means actively participating in opportunities to be inclusive. Diversity Equity and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen heard and welcomed and most importantly that they know they belong no matter who they are or where they are coming from.
Full-Time