(1109256) Autonomy Systems Engineer

Diversified Services Network, Inc. (DSN) is seeking a full-time Autonomy Systems Engineer to join our fully onsite team that's split between two locations in Mossville & Peoria, IL. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!

Position Overview

As an Autonomy Systems Engineer on the Surface Loading Autonomy team, you will help develop the next generation of autonomous machines for the construction industry, including excavators, wheel loaders, and articulated trucks. You will be responsible for integrating autonomy solutions with the base machine – helping define the requirements and system architecture that bring autonomous machine systems together, working hands-on with a wide range of onboard electronics in both lab and on-machine environments, and coordinating with other

teams to implement, validate, and demonstrate autonomous solutions.

• Team & Work Environment
• Onsite position, split between hands-on machine work at the proving ground and office-based work
• Part of a 6–10 person engineering team supporting a larger autonomy program with team members across multiple locations
• PPE (safety glasses, safety shoes, and reflective vest) will be provided

Key Responsibilities

• Install, commission, and test autonomy hardware on machine
• Flash software on machine and validate proper functionality
• Support prototype and test machine builds and updates
• Perform live monitoring of CAN and Ethernet traffic on the machine and validate data
• Troubleshoot connectivity and data issues as they arise, including debugging and correcting wiring, harness, sensor, positioning-system, and time synchronization issues
• Partner with machine development teams, on machine, to determine the best way to deliver autonomous features and resolve issues
• Lead or support system integration, functional testing, and validation activities
• Decompose customer requirements into system-level technical requirements
• Document system architecture, design decisions, and success criteria with clear traceability, ensuring understanding and compliance across subsystem teams
• Coordinate activities across autonomy development, machine system development, and machine validation teams, including global team members
• Communicate system readiness, technical risk, designs, and trade-offs between time, resources, and quality to stakeholders at multiple levels
• Help develop and execute standard work
• Serve as a subject matter expert for surface loading machine autonomous solutions
• Team & Work Environment
• Collaborate with a local team of 3-6 engineers, with the opportunity to work alongside other US-based teams
• Split time between an office setting and an on-site proving ground (approximately 20%)
• Personal protective equipment (PPE) will be provided for work at the proving ground

Requirements

• Required Education & Experience
• Bachelor’s degree in Engineering, Computer Science, or a related field from an accredited institution AND 5–7 years of professional experience
• OR Master’s degree AND full 5 years of experience
• Required Qualifications
• Proven experience as a Systems Engineer supporting product development of autonomous machines, including the integration of hardware and software
• Experience collaborating with systems integration and validation teams to validate hardware and software both in the lab and on machine
• Knowledge of and experience with construction equipment such as articulated dump trucks, hydraulic excavators, and wheel loaders
• Proven ability to support production products through design, implementation, customer rollout, and support
• Experience with autonomy hardware, including vision systems (camera, lidar, radar), GNSS, and IMU
• Knowledge of on-machine electrical systems and best practices, including harnessing and wiring
• Experience integrating autonomy protocols and software, including CAN, Ethernet, and ROS2
• Strong working knowledge of centralized machine command and control system architectures in mining or construction
• Uses data-driven arguments, active listening, and tailored messaging to influence decisions and build consensus, while keeping leadership and external partners informed
• Very detail oriented, able to work independently and as part of a team, and stays current on advancements in the autonomy and mining industries

Preferred Qualifications

• Master’s degree in an autonomy-related field
• Experience in the construction or mining industry
• Knowledge of C++ and software development for autonomous systems