Autonomy Test Engineer

• Documenting architecture specifications, software design description, verification plans, test cases, operating procedures, and safety procedures.

• Utilizing appropriate tools to debug, test and maintain software and hardware systems of robotic tools; assisting in the verification and validation process.

• Participating in design and development of application software and algorithms for robotic platforms.

• Requires a degree in an accredited Engineering, Computer Science, or Materials Science curriculum.

Degree Requirement

Degree required

Skill Descriptors

Industry Knowledge: Knowledge of the organization's industry group, trends, directions, major issues, regulatory considerations, and trendsetters; ability to apply industry knowledge appropriately to diverse situations.

Level Working Knowledge:

• Discusses industry-specific flagship products and services.

• Demonstrates current knowledge of the regulatory environment for industry segment.

• Describes the contribution of own function as it relates to the industry segment.

• Participates in major industry professional associations; subscribes to industry-specific publications.

• Currently works with a major industry segment and associated functions and features.

Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.

Level Working Knowledge:

• Identifies and documents specific problems and resolution alternatives.

• Examines a specific problem and understands the perspective of each involved stakeholder.

• Develops alternative techniques for assessing accuracy and relevance of information.

• Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution.

• Uses fact-finding techniques and diagnostic tools to identify problems.

Software Development Life Cycle: Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.

Level Working Knowledge:

• Describes similarities and differences of life cycle for new product development vs. new release.

• Identifies common issues, problems, and considerations for each phase of the life cycle.

• Works with a formal life cycle methodology.

• Explains phases, activities, dependencies, deliverables, and key decision points.

• Interprets product development plans and functional documentation.

Software Product Testing: Knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.

Level Working Knowledge:

• Participates in test readiness reviews, functional, volume, and load testing.

• Describes key features and aspects of a specific testing discipline or methodology.

• Tests software components for compliance with functional requirements and design specifications.

• Explains procedures for documenting test activities and results (e.g. errors, non-conformance, etc.)

• Conducts functional and performance testing on aspects of assigned products.

Application Development Tools: Knowledge of application and system development; ability to utilize a variety of specific tools and toolkits for developing applications.

Level Working Knowledge:

• Follows standards and guidelines for using locally available toolkits.

• Documents the uses of a specific application development toolkit.

• Differentiates among tools used for diverse strategic development platforms.

• Works with most toolkit components, features and facilities.

• Discusses the capabilities, features and uses of all tools for a specific platform.

Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial intelligence (AI); ability to develop, implement and/or apply artificial intelligence products and services in specific industry domain to achieve business goals.

Level Basic Understanding:

• Explains the methodology and technologies of artificial intelligence.

• Describes the concepts, functions and features of artificial intelligence (AI).

• Locates relevant resources to obtain the latest information on artificial intelligence.

• Cites examples of successful implementation of AI technologies and systems.

Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs.

Level Working Knowledge:

• Interprets application system designs and program specifications.

• Develops structured programming specifications.

• Works with the syntax, structure, features and facilities of at least one language.

• Writes programs in a specific language and for a specific platform.

• Applies structured programming techniques to structured environments.

Technical Troubleshooting: Knowledge of technical troubleshooting approaches, tools and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application or operation.

Level Working Knowledge:

• Discovers, analyzes, and resolves hardware, software or application problems.

• Works with vendor-specific diagnostic guides, tools and utilities.

• Handles calls related to product features, applications, and compatibility standards.

• Analyzes code, logs, and current systems as part of advanced troubleshooting.

• Records and reports specific technical problems, solving processes and tools that have been used.

Posting Dates:

September 29, 2026 - October 12, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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