Senior Manufacturing Engineer

Excelitas Technologies Corp.

Boulder, Northern (CO, KY)

Hybrid

USD 120,000 - 155,000

Full time

10 hours ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401K
Holiday Pay
Paid maternity/paternity leave
Tuition reimbursement
Long-term disability
Short-term disability

Job summary

Excelitas Technologies Corp. in Boulder, CO seeks a Senior Manufacturing Engineer to drive cross-functional quality, cycle-time and process improvements across manufacturing operations.

The role requires leading production readiness, root cause analyses and continuous improvement initiatives while collaborating with Process Engineers and Operations to resolve bottlenecks. The Boulder facility specializes in ultra-precision optical components and coatings.

Qualifications

  • Bachelor’s degree in a technical field (Industrial/Mechanical Engineering, Physics, or Mathematics). Master’s Degree preferred.
  • 10–15 years of experience in manufacturing engineering or a similar role.
  • Lean Six Sigma Green Belt or Black Belt or demonstrated use of Lean Six-Sigma methodologies and tools.
  • Experience in using statistics and statistical process control (SPC) to drive improvements.
  • Experience in low volume, high product mixture manufacturing; precision optics preferred.
  • Ability to present project status to stakeholders and customers.
  • Working knowledge of OEE and Theory of Constraints is preferred.
  • Cross-functional team leadership including multi-line projects.

Responsibilities

  • Use of continual improvement and data analysis to identify issues in manufacturing processes.
  • Collaborate with Operations to identify inefficiencies and lead continual improvement initiatives.
  • Lead Production Readiness Reviews for items transitioning to production.
  • Conduct root cause analyses on nonconforming materials and report findings.
  • Work with Process Engineers to analyze defects and optimize processes.
  • Lead Continuous Improvement projects with scoping, chartering and schedules.
  • Optimize stable processes through yield improvement analyses.
  • Lead MRB meetings to address non-conformances and systemic issues.
  • Provide daily support to manufacturing operations and ensure updated plans.

Skills

Cross-functional teamwork
Quality improvement
Data analysis
Project leadership
Root cause analysis

Education

Bachelor’s degree in Industrial/Mechanical Engineering, Physics, or Mathematics
Master’s degree preferred

Tools

SPC
DMAIC
Ishikawa
5-Why
Fault tree analysis
Value-stream mapping
Time study & capacity analysis

Job description

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Senior Manufacturing Engineer

Location:

Boulder, CO, US, 80301

Job Function: Operations - Engineering

Job Country: United States

Job City: Boulder

Job Type: Regular Full Time

ENABLE your future through light.

Excelitas is a global technology leader with more than 7,500 employees, focused on delivering market-driven solutions to fulfill the illumination, optical, detection and imaging needs of OEMs and end-users across the biomedical, semiconductor, industrial, consumer products, scientific, security, defense and aerospace sectors.

ENGAGE with us today and make your contribution to the future! Join the team that leading technology companies turn to for cutting-edge photonic innovation. At Excelitas Technologies you are how we EXCEL.

We are currently seeking a Senior Manufacturing Engineer who will engage and drive solutions of cross-functional quality, cycle time, and process issues.

Main Responsibilities:

  • Use of continual improvement and data analysis tools to identify issues in manufacturing processes impacting Quality and working to resolve them with the Process Engineering and Operations teams.
  • Work closely with Operations to identify process inefficiencies, bottlenecks, training needs, and continual improvement initiatives.
  • Lead Production Readiness Reviews (PRRs) for items transitioning from New Product teams to production in a comprehensive manner to ensure smooth transition into manufacturing. This includes conducting training requirements, space requirements, capacity analysis and quality analysis.
  • Conducting root cause analyses on nonconforming materials and reporting findings to Management and, as applicable, to customers.
  • Working with Process Engineers in cross functional team environments, analyzing and understanding defects and working to optimize processes.
  • Lead Continuous Improvement (CI) projects that are derived from data analysis, scope includes proposing new projects, chartering, developing schedules, leading teams and regular updates to CI steering committee.
  • Optimization of stable processes by conducting yield improvement analysis and efforts.
  • Lead/Participate in regular Material Review Board (MRB) meetings to ensure non-compliances are being addressed in a timely manner and systemic issues are resolved.
  • The candidate will be excellent in collaborating in multi-level, cross-functional teams and provide daily support of the manufacturing operation.
  • Ensure Manufacturing plans are reviewed and updated on a regular basis. This includes conducting periodic review of Standard Routings, Yields, Standard Bill of Materials and Work instructions.
  • Work with finance to understand and resolve production variances in manufacturing on a weekly basis.
  • Other tasks as assigned.

Qualifications:

  • Bachelor’s degree in a technical field such as Industrial or Mechanical Engineering, Physics, or Mathematics. Master’s Degree preferred.
  • 10-15 years’ experience in manufacturing engineering or a similar role
  • Lean Six Sigma Green Belt or Black Belt or demonstrated use and knowledge of Lean Six-Sigma methodologies and tools preferred.
  • Experience in using statistics and statistical process control (SPC) to make data-driven decisions while driving improvements.
  • Demonstrated use of Lean/Six-Sigma and root cause analysis tools such as DMAIC, Ishikawa, 5-Why, fault tree diagram, value-stream maps, and time study/capacity analysis.
  • Experience in low volume, high product mixture manufacturing. Precision optics manufacturing preferred.
  • Ability to present project status to stakeholders/champions and customers.
  • Working Knowledge of OEE and Theory of Constraints preferred
  • Cross-functional team leadership including managing multi-line projects with expected completion goals, milestones, and dates.

Benefits start day 1: Medical, Dental, Vision, 401K, Holiday Pay, PAID Maternity/Paternity leave, Tuition Reimbursement, Long-term and Short-term disability.

Pay Range: $120,000 - $155,000 per year, depending on experience.

Excelitas is a global technology leader with more than 7,500 employees, focused on delivering market-driven solutions to fulfill the illumination, optical, detection and imaging needs of OEMs and end-users across the biomedical, semiconductor, industrial, consumer products, scientific, security, defense and aerospace sectors.

ENGAGE with us today and make your contribution to the future! Join the team that leading technology companies turn to for cutting-edge photonic innovation.At Excelitas Technologies you are how we EXCEL.

Our facility in Boulder, Coloradohas key functions in Research and Development, Operations, Production, and other disciplines. This facility specializesin the manufacturing of ultra-precision optical components, optical thin film coatings and optical sub-assemblies for demanding applications in lasers, materials processing, instrumentation, life sciences, avionics, and defense.

This site offers capabilities that include substantial design and engineering resources, comprehensive optical fabrication and coating capabilities, advanced assembly technology and an extensive in-house metrology lab.

#LI-FM1 #LI-Onsite

This position requires the use of information which is subject to the International Traffic in Arms Regulations (ITAR)

Visa sponsorship is not available for any position at Excelitas

Minorities/Females/Disability/Veteran/Gender Identity/Sexual Orientation

Excelitas is seeking leaders and innovators to join our global team!

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