Validation Engineer

Caterpillar Inc.•Houston, TX

5d•$112,710 - $169,060•Onsite

About The Position

The Validation Engineer implements and improves testing, development and validation techniques, processes, tooling and machinery to maximize product quality. The Oil & Gas industry has relied upon Caterpillar power for decades for the toughest drilling, gas compression, production, power generation and well service applications. This role is based in Houston, Texas and requires working onsite five days a week. Travel is up to 40%.

Requirements

Requires a degree in an accredited Engineering, Computer Science, or Materials Science curriculum or equivalent experience working in an Engineering function.
Requires a degree in Electrical and/or Mechanical Engineering or Computer Science
Process Management: Knowledge of business process improvement tools and techniques; ability to understand, monitor, update, control, or enhance existing business or work processes.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Effective Communications: Understanding effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Technical Excellence: Knowledge of a given technology and various application methods; ability to develop and provide solutions to significant technical challenges.

Nice To Haves

Experience in the manufacturing and/or oil & gas field

Responsibilities

Resolving issues regarding the design or manufacturing.
Ensuring design acceptance and manufacturing readiness.
Participating in the adoption of new technologies and processes (automation, robotics, computer aided manufacturing software, etc.) to achieve greater efficiency, cost reduction and quality improvement.
Planning and improving testing procedures and operations to make the test more reliable, efficient and cost-effective.
Monitoring results, machine and process capabilities and performance reliability.