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Philips

Quality Engineer

Posted 2 Hours Ago
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In-Office
Colorado Springs, CO
61K-97K Annually
Junior
In-Office
Colorado Springs, CO
61K-97K Annually
Junior
The Quality Engineer analyzes defects, manages quality notifications, implements corrective actions, supports operations monitoring, and prepares quality metrics for stakeholders.
The summary above was generated by AI
Job TitleQuality Engineer

Job Description

The Quality Engineer supports and facilitates high quality performance, compliance and continuous/process improvement at our Image Guided Therapy Devices (IGTD) Colorado Springs manufacturing site.

Your Role:

  • Analyzes defects for determining dispositions/drives management of Non-Conformances (NC) and Quality Notifications (QN) and implements effective Corrective and Preventive Actions (CAPA) actions. Assists in the assessment of impact to Process Failure Mode and Effects Analysis (PFMEA) and controls in relation to design changes and assists in Manufacturing Process Development and Design Transfer activities.
  • Supports operations performance monitoring, risk assessment, reporting, improvement and development, aids with improvement programs in factory, and supports analytical testing and Supplier Quality Engineering (SQE), Supplier Quality Assurance (SQA) and purchasing.
  • Identifies transformative process enhancement opportunities, facilitating the execution of advanced improvement initiatives to optimize operational performance and elevate product quality benchmarks significantly. Applies advanced statistical analysis techniques proficiently to interpret complex data trends and resolve medium to high complexity requests efficiently, exercising judgment within defined procedures/practices to determine appropriate action.
  • Ensures the comprehensive execution of process validation protocols, coordinates multifaceted production activities to bolster process validation efforts and drive continuous process improvements effectively.
  • Prepares and delivers detailed quality metrics and reports to key stakeholders, highlighting significant achievements, emerging trends, and targeted areas for advanced improvement initiatives and regulatory compliance strategies.

You're the right fit if:

  • You have a minimum of 2+ years’ experience working in highly regulated product/manufacturing environments (FDA-Medical Device preferred) with a focus on Quality Engineering/Process Quality, Continuous Improvement, Design Transfers, CAPA’s etc.
  • You’re able to exercise good judgment in working within defined procedures/policies to determine appropriate action in working with supervisors and functional peer groups to gain cooperation of others.
  • You have proven experience participating in investigations and collaborating with suppliers, R&D, and manufacturing teams to resolve quality issues and maintain high standards throughout the supply chain.
  • You have experience in Risk Assessment (ISO 14971), Process Failure Mode and Effects Analysis (PFMEA) and Root Cause Analysis.
  • You have experience applying statistical/data analysis techniques to interpret complex data trends, performance monitoring, reporting and resolving medium to high complexity requests.
  • You have a minimum of Bachelor’s degree (Required) in Quality or an Engineering discipline.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position

How we work together:

We believe that we are better together than a part. For our Office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an On-site role.

About Philips:

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality. healthcare that we all deserve. Do the work of your life to help improve the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our commitment to diversity and inclusion.

Philips Transparency Details:

  • The pay range for this position in Colorado Springs, CO is $60,750 to $97,200.

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.    

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered.  Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.  Details about our benefits can be found here. 

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. 

Additional Information

  • US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
  • Company relocation benefits will not be provided for this position.  For this position, you must reside in or within commuting distance to Colorado Springs, CO.

#LI-PH1

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.  Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

Top Skills

Process Failure Mode And Effects Analysis (Pfmea)
Process Validation
Quality Metrics Reporting
Risk Assessment
Root Cause Analysis
Statistical Analysis

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