Quality Engineer

Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic platform. They are seeking Quality Engineers to support manufacturing partners and ensure high standards of quality and reliability for their systems, leveraging technical knowledge to enhance product quality.

Responsibilities:

• Manage supplier quality activities for assigned suppliers and contract manufacturers to ensure compliance with Symbotic quality standards and customer requirements
• Serve as the primary quality contact for suppliers and contract manufacturers, supporting issue resolution and ongoing quality performance
• Conduct supplier audits, assessments, and reviews to evaluate compliance and identify opportunities for improvement
• Support quality planning activities throughout the product lifecycle, including new product introduction, production readiness, and sustaining operations
• Lead root cause investigations and corrective actions using structured problem-solving methodologies such as QRRC, 8D, A3, and 5-Why
• Partner with Engineering, Supply Chain, Manufacturing, and supplier teams to resolve quality issues and prevent recurrence
• Monitor supplier quality performance through metrics and KPIs, identifying trends and driving improvement actions as needed
• Support process improvement initiatives focused on enhancing product quality, manufacturing efficiency, and supplier performance
• Maintain quality documentation and provide regular updates on supplier performance and quality concerns
• Mentor and support less experienced team members as appropriate
• Travel to supplier and contract manufacturing locations as needed
• Perform other duties as assigned

Requirements:

• Bachelor's degree in engineering or related discipline is preferred. Related work experience is required
• Minimum of 3 years of quality engineering experience within a regulated manufacturing environment preferred
• Proficient in quality management concepts, tools, and methods (FMEA, DOE, MSA, GRR, 8D, etc.)
• Experience with Control Plans, FMEAs, and PPAP or equivalent part approval processes
• Knowledge of engineering fundamentals and the ability to identify critical control points
• Familiarity with statistical process control software such as SAA, Minitab, and JMP, along with advanced Excel skills for data organization and analysis
• Strong communicative, quantitative and analytical skills with the ability to translate findings into actionable business decisions
• CQE and Six Sigma Black Belt certification preferred (must demonstrate deep core knowledge)
• Certified or previously certified ISO 9001 or AS9100 auditor preferred