Sr. Product Validation Engineer

Marmon Food service Technologies, Inc.

Although you may not know us by name, you have likely enjoyed meals and refreshments supported by our industry‑leading brand portfolio. For decades, we have designed and manufactured food service equipment for some of the world’s biggest, most recognized consumer brands. We are driven to innovate to enhance the eating and drinking experience, nourishing the people and communities we serve.

• Support New Product Development (NPD) through a Design for Reliability methodology.
• Develop or update procedures for lab testing that accurately model or predict field performance of products.
• Analyze product or component failures in the lab or in the field to determine root cause and improve future product or test design.
• Engage with project teams to understand project needs and provide technical expertise using data and analytical tools.
• Write thorough and concise tests and process procedures.
• Collaborate with the Data Science team to modify existing tools or create new ones to analyze product performance in the field.
• Develop predictive models and machine‑learning algorithms to uncover patterns and trends.
• Continuously enhance data‑collection procedures to include relevant data for analysis.
• Proactively identify opportunities to improve product reliability using varied data sources, including returned‑goods analysis, in‑line manufacturing data, fielded product instrument data, and other sources.

This role follows a hybrid work model: on Monday, Tuesday, and Thursday you will collaborate in the office; the remainder of the week offers flexible remote work.

• Independent self‑starter who takes prompt, proactive action with limited oversight.
• Collaborative partner who communicates effectively with cross‑functional teams.
• Detail‑oriented team member who strives for accuracy and a zero‑error mindset.
• Problem‑solver who uses creative and logical thinking to devise effective solutions.

• Bachelor’s or Master’s degree in an Engineering or Physics discipline.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent problem‑solving skills and the ability to adapt in a fast‑paced, changing environment.
• Strong communication skills, with the ability to explain complex concepts to non‑technical audiences.

• 8+ years of relevant experience in a quality, test, new product development, or similar engineering role.
• Experience in field data analysis—collecting and analyzing data from products in the field to identify reliability trends and reporting required design changes.
• Experience with new product development process and understanding of defect types driven by product design.
• Experience designing tests to validate product or assembly function and/or reliability.
• Experience creating or specifying automation of tests to accelerate speed of results and increase efficiency.
• Exposure to a manufacturing environment and knowledge of manufacturing‑driven defects.
• Experience with statistical analysis tools such as Reliasoft Weibull++, Minitab.
• Experience performing hands‑on failure analysis work.
• Proficiency in Python, command line, Power BI, SQL to analyze and interpret complex datasets.
• Ability to continually enhance data collection procedures to include relevant data for analysis.
• Excellent problem‑solving and analytical skills with experience in root‑cause analysis methods such as FMEA, fishbone, or similar.