Cryogenic Test Engineer: Data-Driven & Travel Ready

CHART COOLER SVC CO INC; Canton (GA); On-site; USD 70,000 - 95,000; Full time

Job summary

Chart Industries, Inc. seeks an engineer to support cryogenic testing and product validation. You will instrument tests, analyze real-world service conditions, and document results for ISO9001/IATF16949 compliance.

Responsibilities include developing test protocols, managing programs, and collaborating with teams to propose design changes based on data. Occasional travel to customer sites is expected.

Qualifications

• BS degree in Engineering or Science is required.
• Minimum 2+ years of related experience in testing or R&D.
• Experience with experiment methodology and lab procedures.
• Strong data management and analytical skills.
• Familiar with ASTM/ANSI standards and safety protocols.
• Proven ability to work in a team and support customers.

Responsibilities

• Review product specifications and research test methods.
• Instrument products to acquire real world service conditions.
• Compile and analyze data to identify critical events.
• Fabricate test fixtures and prepare bench tests.
• Schedule and manage test programs.
• Document methods and results in technical reports.
• Identify testing and validation requirements and propose design changes.
• Travel to customer facilities during testing phases.

Skills

2+ years experience

Experiment methodology

Lab procedures

Data analysis

Customer service

Team player

Heat transfer basics

Cryogenic knowledge

DC circuits basics

Education

BS degree, Engineering or Science

Tools

Data Acquisition Systems

IMC FAMOS 6.3

SolidWorks

AutoCAD/Inventor

Microsoft Office

Job description

Chart Industries, Inc. seeks an engineer to support cryogenic testing and product validation. You will instrument tests, analyze real-world service conditions, and document results for ISO9001/IATF16949 compliance.

Responsibilities include developing test protocols, managing programs, and collaborating with teams to propose design changes based on data. Occasional travel to customer sites is expected.