Quality Engineering Co-op - Onsite, Jan-Jun (Needham, MA)

SharkNinja; Needham (MA); On-site; USD 37,000 - 50,000; Full time

Benefits offered by this job

Medical insurance

Health Savings Account (HSA)

Sick time

Employee product discount

Job summary

SharkNinja in Needham, MA is seeking a Spring 2027 Quality Engineering Co-op (January–June) to join our Product Development team. This full-time, onsite role offers practical testing, data analysis, and root-cause investigations to enhance consumer experiences.

You’ll tear down units, analyze failures with Power BI, reproduce issues in lab, document in Jira, and collaborate with engineers and quality partners in a fast-paced, AI-native culture. Excellent growth and mentoring await.

Qualifications

• Pursuing degree in mechanical, electrical, mechatronics, or related engineering field, second year or beyond.

Responsibilities

• Tear down consumer-returned units and perform failure analysis on mechanical and electrical failures.
• Analyze consumer complaints from call center data and web reviews using Power BI.
• Recreate consumer-reported failures in the lab by running products for extended periods.
• Use learnings to improve test methods for future programs.
• Document findings and root cause in Jira using 5 Why, 8D, and fishbone diagrams.
• Present findings to PI, engineering, PD, and process quality partners and leaders.

Skills

Mechanical aptitude

Electrical aptitude

Data analysis (Excel)

Power BI

Root-cause tools

Written communication

Consumer-first mindset

Education

Pursuing an engineering degree (mechanical/electrical/mechatronics)

Tools

Power BI

Excel

Multimeter

Job description

SharkNinja in Needham, MA is seeking a Spring 2027 Quality Engineering Co-op (January–June) to join our Product Development team. This full-time, onsite role offers practical testing, data analysis, and root-cause investigations to enhance consumer experiences.

You’ll tear down units, analyze failures with Power BI, reproduce issues in lab, document in Jira, and collaborate with engineers and quality partners in a fast-paced, AI-native culture. Excellent growth and mentoring await.