Systems Engineer

This Systems Engineer role focuses on supporting the MineStar Fleet application and related autonomous hauling solutions used at mining sites. You will primarily work as a test engineer, validating complex autonomous truck and staff vehicle systems within a simulated worksite environment. The position involves developing and executing test plans, debugging issues across software and infrastructure, and working with virtualized environments to ensure the reliability, scalability, and performance of fleet management and autonomy software., * Support the MineStar Fleet application and associated autonomous hauling products used to operate autonomous mining trucks and staff vehicles.

• Develop, write, and execute detailed test plans for complex systems, ensuring comprehensive coverage of functional, performance, and integration scenarios.
• Perform heavy test engineering activities, including software-in-the-loop (SIL) testing, to validate autonomous systems in simulated environments.
• Utilize simulators to create realistic, virtual mining site conditions and run the product as it would be used by customers in the field.
• Administer and manage a large virtualized environment of approximately 1,000 virtual machines used to simulate worksite environments for testing applications and network infrastructure.
• Use VMware to create, configure, back up, and manage virtual machines and support a dedicated server cluster environment.
• Work with Windows Server and Linux operating systems to deploy, configure, and maintain autonomy onboard software on virtual machines.
• Support and participate in upgrades to Windows Server 2022 within the isolated test environment.
• Debug issues across software, network, and system layers, identifying root causes and collaborating with team members to implement fixes.
• Apply IP networking knowledge to configure and troubleshoot network connectivity within an isolated VLAN segmented specifically for this team.
• Collaborate with autonomy and fleet management teams to ensure test environments accurately reflect customer deployments and operational scenarios.
• Document test results, issues, and configurations clearly to support continuous improvement and knowledge sharing within the team.
• Contribute to the scalability lab operations by running tests that evaluate performance, scalability, and reliability of the autonomy and fleet management solutions.

Debugging Scripting Visionary Operations Management Automation Innovation Scalability Reliability Test Planning Virtualization Windows Servers Vehicle Systems Test Engineering Virtual Machines Autonomous System Computer Clusters Systems Engineering Autonomous Vehicles Computer Engineering Software-In-The-Loop Electrical Engineering Network Troubleshooting Engineering Design Process Python (Programming Language) Continuous Improvement Process Troubleshooting (Problem Solving) Virtual Local Area Network (VLAN) Network Configuration And Change Management, * Minimum of 5 years of experience working with complex systems in a test engineering or systems engineering capacity.

• Proven experience developing, writing, and executing detailed test plans.
• Strong debugging skills, with the ability to diagnose and resolve issues across software and system components.
• Hands-on experience with Software-in-the-Loop (SIL) testing.
• Proficiency with Linux operating systems.
• Proficiency with Windows operating systems, including Windows Server environments.
• Bachelors degree in Engineering.
• Ability and willingness to work fully onsite.
• Ability to work assigned shift hours (1st or 2nd shift as scheduled).

Additional Skills & Qualifications

• Experience with IT software and virtualization technologies, particularly VMware, is highly beneficial.
• Familiarity with the MineStar Fleet application or similar fleet management systems.
• Experience with Python for scripting, automation, or test tooling.
• Knowledge of IP networking concepts and practical network configuration and troubleshooting skills.
• Experience working in isolated or segmented network environments (such as dedicated VLANs).
• Prior exposure to autonomy onboard software or autonomous vehicle systems.
• Bachelors degree in a related technical discipline beyond the minimum (e.g., Computer Engineering, Electrical Engineering, Systems Engineering) is an advantage., Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors., Chillicothe, IL*On-Site

Linux Debugging Scripting Visionary Operations Management Automation Innovation Scalability Reliability Test Planning Virtualization Windows Servers Vehicle Systems Test Engineering Virtual Machines Autonomous System Computer Clusters Systems Engineering Autonomous Vehicles Computer Engineering Software-In-The-Loop Electrical Engineering Network Troubleshooting Engineering Design Process Python (Programming Language) Continuous Improvement Process Troubleshooting (Problem Solving) Virtual Local Area Network (VLAN) Network Configuration And Change Management

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