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# (1109256) Systems Engineer - Autonomous Machines

- **Company:** DIVERSIFIED INC
- **Location:** Mossville, IL, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, DevOps, Ethernet, Requirements Traceability, Systems Integration, Visual Systems, Information Technology
- **Published:** October 17, 2026
- **Apply:** https://www.thejobnetwork.com/job/d17b5ef0-76ca-4a4d-aee2-81e906221dfe/-systems-engineer-autonomous-machines

## About the Role

* Bachelor's degree in Engineering, Computer Science, or a related field and 5-7 years of relevant experience is required OR

 * Master's degree with 5+ years of experience

Key Qualifications

 * Proven experience as a Systems Engineer supporting the development of autonomous machines, including the integration of software and hardware to deliver autonomous solutions

 * Experience collaborating with systems integration and validation teams throughout product development, including validating software and hardware in both lab and machine environments

 * Knowledge of construction equipment such as articulated dump trucks, hydraulic excavators, and wheel loaders

 * Proven ability to support production products through design, implementation, customer rollout, and ongoing support

 * Ability to decompose complex customer requirements into achievable technical requirements

 * Experience with autonomous systems and centralized command/control system architecture

 * Experience with systems integration over CAN and Ethernet

 * Experience in the construction or mining industry preferred but not required

 * Master's degree in an autonomy-related field a plus

Communication & Collaboration

 * Skilled at communicating complex technical concepts and design trade-offs to team members and stakeholders at multiple levels

 * Committed to thorough documentation of designs, requirements, and success criteria to ensure team alignment

 * Clearly communicates project goals, keeps leadership informed of progress, and shares relevant updates with external partners

 * Uses data-driven arguments, active listening, and tailored messaging to build consensus and influence decision-making

 * Builds credibility and a strong reputation as a subject-matter expert through consistent, high-quality work

 * Stays current on advancements in autonomy and related industries to inform design decisions

 * Comfortable working both independently and as part of a collaborative team

## Description

The Systems Engineer - Autonomous Machines will help define the requirements and architecture for bringing an autonomous machine system together, with a primary focus on developing system integration requirements for multiple systems within an autonomous machine on the Loading, Dozing & Compaction Application Team. These systems can include a variety of onboard electronic systems as well as process and people interactions. The ideal candidate is highly detail-oriented, collaborates well with and through others, and is capable of making and communicating sound decisions around the trade-offs between time, resources, and quality.

Key Responsibilities

 * Apply new autonomous system solutions and technologies to semi- or fully autonomous systems

 * Decompose customer requirements into system-level requirements, including both hardware and software

 * Manage system-level requirements and related features within DevOps

 * Collaborate closely with machine system teams to determine the best approach for delivering autonomous features, including component selection and system integration

 * Ensure clear documentation and requirements traceability

 * Serve as a subject matter expert for surface loading autonomous machine solutions

 * Communicate system readiness and technical risk to stakeholders

 * Work as part of an engineering team to design, develop, integrate, and test robust, scalable features on embedded electronic control systems and vision systems for autonomous machine applications

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%)