Global Quality Engineer: Lead Safety & Innovation

SGS Consulting; Sacramento (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

SGS Consulting seeks a quality engineering professional to lead product quality and safety initiatives across multiple programs. You will participate in concept reviews, define design and manufacturing standards, and interpret regulatory requirements.

The role includes root-cause analysis, corrective actions, and collaboration with global teams across time zones. Responsibilities cover DFMEA/PFMEA, statistical analysis, digital modeling, and cross-functional project leadership.

Qualifications

• Bachelor's degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, or equivalent.

Responsibilities

• Participate in product concept and design reviews to provide input on safety, quality, regulatory compliance, and customer expectations.
• Support product development activities from initial concept through product launch
• Develop and update design, engineering, and manufacturing standards based on consumer insights and engineering principles
• Interpret and communicate applicable product regulatory requirements
• Assess product risks related to safety, quality, reliability, and regulatory compliance
• Author product specifications covering performance, safety, and quality requirements
• Manage product quality and safety issues across multiple products and international teams
• Analyze product defects and conduct root cause analysis for quality and safety issues
• Recommend corrective actions and support manufacturing partners with implementation
• Collaborate with international quality and manufacturing teams during pre-production activities and product development
• Support investigation and resolution of post-production and field quality issues
• Research and support new business categories, product concepts, and innovative products
• Apply quality assurance and quality management principles throughout product development
• Utilize Six Sigma and other quality improvement methodologies to support problem solving
• Apply DFMEA, PFMEA, statistical analysis, and risk analysis techniques
• Review and analyze product designs using digital modeling and engineering tools
• Lead and manage cross-functional projects with organizational and departmental impact
• Collaborate with multidisciplinary teams to analyze data and support business decisions
• Provide technical training and mentoring to junior-level engineers as required
• Support manufacturing processes including plastic molding, metal forming, electronic assembly, sewing, and product assembly
• Work with global teams and manage quality activities across different international time zones
• Travel periodically to manufacturing facilities and product development locations as required
• Perform additional quality engineering and product development activities as assigned

Skills

Quality Engineering

Product Quality

Product Safety

Product Design and Development

Product Engineering

Regulatory Compliance

Consumer Product Regulations

Quality Assurance

Quality Management Systems

Risk Analysis

Root Cause Analysis

Corrective Actions

Six Sigma

DFMEA

PFMEA

Statistical Analysis

Design Reviews

Product Specifications

Engineering Standards

Manufacturing Processes

Plastic Injection Molding

Metal Forming

Electronic Assembly

Sewing and Consumer Assembly

Digital Modeling

Engineering Analysis

Data-Driven Decision Making

Microsoft Office

Project Management

Cross-Functional Collaboration

Technical Training

Global Team Coordination

Analytical and Problem-Solving Skills

Education

Bachelor's degree in Industrial Engineering

Job description

SGS Consulting seeks a quality engineering professional to lead product quality and safety initiatives across multiple programs. You will participate in concept reviews, define design and manufacturing standards, and interpret regulatory requirements.

The role includes root-cause analysis, corrective actions, and collaboration with global teams across time zones. Responsibilities cover DFMEA/PFMEA, statistical analysis, digital modeling, and cross-functional project leadership.