Software Test Automation & AI Integration Engineer

RFA Engineering•Johnston, IA

82d•$90,000 - $150,000•Onsite

About The Position

RFA Engineering supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices. This is a full-time position with a full benefit package listed below that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization. We are seeking multiple Software Test Automation & AI Integration Engineers to help revolutionize software testing processes for advanced vehicle and machine systems. This team will focus on improving efficiency, reducing manual testing effort, and developing intelligent tools that optimize software validation across Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and on-vehicle testing environments. This is a unique opportunity to help build the future of intelligent testing by combining software engineering, automation, AI-enabled workflows, and real-world machine testing. Position Overview As a Software Test Automation & AI Integration Engineer, you will work closely with system test teams, software developers, and product engineering groups to identify inefficiencies in current testing workflows and develop innovative solutions that improve software quality and testing speed. The current testing environment relies heavily on manual on-machine software validation. This team will focus on creating smarter testing solutions through automation, intelligent monitoring, anomaly detection, AI-assisted analysis, and integration of new tools and workflows. The ideal candidate is highly technical, curious, hands-on, and excited about solving difficult real-world problems involving software integration, CAN communication, machine systems, and intelligent automation.

Requirements

Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or related field
Experience with software testing, automation, systems integration, or validation engineering
Experience working with embedded systems, machine systems, vehicle systems, or industrial equipment
Understanding of CAN communication and machine network diagnostics
Experience with scripting or programming languages such as Python, C++, JavaScript, or similar
Experience developing automation tools, utilities, or test frameworks
Strong troubleshooting and problem-solving skills
Ability to work independently in fast-paced development and testing environments
Strong communication and collaboration skills

Nice To Haves

Experience with HIL or SIL testing environments
Experience with AI/ML tools, agentic AI workflows, or intelligent automation
Experience developing data analysis or anomaly detection solutions
Familiarity with MQTT, Ethernet communication, telemetry systems, or machine connectivity solutions
Experience integrating with APIs, databases, or cloud-based tools
Familiarity with Azure DevOps (ADO) test plans or software development workflows
Experience working with agricultural, construction, forestry, or off-highway equipment
Experience supporting regression testing or system integration testing
Understanding of test data collection, logging, and analytics systems
Innovative mindset with a passion for improving inefficient processes
Strong interest in AI-assisted engineering workflows and automation
Comfortable working in both software and hands-on machine testing environments
Self-starter capable of rapidly learning new tools and technologies
Ability to identify opportunities for major efficiency gains and process improvements
Willingness to challenge traditional testing approaches and develop revolutionary solutions

Responsibilities

Develop tools and workflows that improve efficiency in software regression testing and on-vehicle validation activities
Design and implement automation solutions for SIL, HIL, and on-machine software testing environments
Create intelligent monitoring and diagnostic tools for CAN communication, system behavior, and machine integration issues
Develop AI-assisted workflows for test execution, anomaly detection, test plan navigation, and data analysis
Collaborate with system test technicians, automation engineers, and software development teams to identify and eliminate testing pain points
Improve test execution planning, coordination, logging, reporting, and traceability
Integrate software tools with existing systems, APIs, databases, and development workflows
Support development of proof-of-concept tools and rapidly prototype new testing solutions
Analyze large volumes of machine and system data to identify trends, failures, and opportunities for optimization
Help reduce regression testing cycle times through automation and smarter test strategies
Participate in field testing activities and support on-machine software validation efforts
Contribute to long-term strategies that modernize and transform software testing processes