Control System Engineering Intern

Overview

Develop and test control algorithms for autonomous farm vehicles using MATLAB/Simulink and C/C++.

Key Responsibilities

• model development
• sensor modeling
• control testing
• algorithm design
• real-time deployment
• performance profiling

Tasks

-Development, characterisation, and validation of non-linear vehicle dynamics plant models and sensor models -Perform on-machine control system testing at our test site. -Design, development, and productisation of state estimation and/or control algorithms -Deploying and profiling algorithm performance on real-time hardware/operating systems

Requirements

• matlab
• simulink
• c/c++
• python
• control systems
• masters

What You Bring

-Proficient with Matlab & Simulink and/or C/C++, Python -Experience with Systems Identification, SimMechanics, Simscape, and Robotics Toolboxes -Utilising your experience with sensor fusion and filter design (e.g UKF, EKF) for odometry/pose estimation -Familiar with C/C++ programming languages and compilation process -Experience with requirements decomposition and management tools. -Practical estimation experience, specifically in the Agriculture industry, including on ground experience with Tractors, Combines, Harvesters, etc -HIL and SIL testing -Advanced degrees are highly desirable -Working with Matlab/Simulink and model-based design (MBD) -Strong understanding of statistics -Simulink auto-code generation -Proficiency in production-grade C/C++ software development -Experience in control systems and state estimation for dynamic physical systems, such as ground vehicles -Data analysis and visualization -Experience with test, verification, validation, and productisation of algorithms -Familiarity with sensor fusion techniques and filter design, such as Extended Kalman Filters and Unscented Kalman Filters for pose estimation -Understanding of non-linear vehicle dynamics and control theory -Machine Learning concepts -Currently pursing a Masters degree in Mechanical or Electrical Engineering with an emphasis on Control Systems and Control Theory -Autonomous/Semi-autonomous vehicle control -GNSS+IMU based navigation

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About Trimble Inc.

-Offers integrated solutions across construction, agriculture, and transportation. -Cutting-edge technology streamlines workflows and improves efficiency. -Provides both hardware and software solutions, focusing on automation, geospatial data, and real-time analytics. -Notable projects include smart city infrastructure, autonomous vehicles, and precision farming systems. -Played a key role in developing GPS technology and transforming resource management. -Solutions help achieve higher productivity, safety, and sustainability.

Sector Specialisms