HIL Validation Engineer

Career Area:
Engineering
:
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Role Definition
Perform autonomy HIL bench setup, develop testcases, perform validation, report out the results and collaborate well with developers, team lead & system integration lead to ensure that internal and external clients needs are met.
Responsibilities

• Analyze schematics, develop harness design, develop Simulink model as per harness design, integrate in the HIL bench and make it fully functional.
• Documenting verification plans, test cases & test results.
• Collaborate well with developers, team lead & system integration lead to ensure that internal and external clients needs are met
• 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 organizations 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 validating 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.
  

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.
  

This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
August 5, 2026 - August 18, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
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