Hasbro
Product Quality Assurance Engineer
Renton, Washington, United States
Sponsorship not specified$102k-$153kDetected 2 days ago
SparkSupply ChainProcess ImprovementCommunicationProblem SolvingMentoring
About the role
- This is your chance to shape legendary play that lasts a lifetime.
- This position is a hybrid role based out of the Renton, WA office location.
- Employees may also be eligible for annual and long-term incentives.
Responsibilities
- Develop and implement quality assurance procedures/protocols to ensure consistent product quality throughout the manufacturing process.
- Collaborate with design, engineering, manufacturing, and supply chain teams to establish quality criteria and specifications for new products.
- Document and maintain detailed records of quality inspections, test results, and corrective actions taken.
- Provide training and mentorship to supply chain partners on procedures, standard processes, and quality control techniques.
- Excellent analytical and problem-solving skills, with the ability to interpret data, identify trends, and implement effective solutions.
- Life & Family Support
Requirements
- Bachelor's degree or 3-5 years equivalent experience in engineering, quality assurance, or a related field.
- Proficiency in QA tools and methodologies, such as statistical process control (SPC), failure mode and effects analysis (FMEA), and root cause analysis (RCA).
Compensation
- $102,300 - $153,400 USD
- Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
- Employees may also be eligible for annual and long-term incentives.
Benefits
- Health & Wellness
- Time Off to Recharge
- Learning & Development
- Exclusive Perks
Company info
- In compliance with local law, we are disclosing the compensation range for this role.
Equal opportunity
- We are an Equal Opportunity / Affirmative Action Employer
This listing is sourced directly from Hasbro's careers page and normalized into a canonical job model.