Process Automation Manager

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Sagamihara, Kanagawa, JPN
Remote
Mid level
3D Printing • Marketing Tech • Design
The Role
Leads AI/ML-based process optimization, yield improvement, anomaly detection, data pipelines, dashboards, and manufacturing innovation across semiconductor laser production lines. Manages improvement projects targeting cycle-time reduction, bottleneck removal, and process stability while collaborating with product, quality, and process engineering teams.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Responsibilities:

Manager who will lead the advancement of AI-based process optimization, data-driven manufacturing innovation, and Industrial Engineering (IE) across our semiconductor laser production lines.

  • Lead the development and deployment of AI/ML models for yield improvement, anomaly detection, and process optimization
  • Promote data-driven decision-making by building dashboards, automated analysis tools, and data pipelines
  • Identify and execute manufacturing improvement projects focusing on cycle-time reduction, bottleneck removal, and process stability
  • Collaborate with product, quality, and process engineering teams to implement integrated manufacturing solutions

Expected Background:

  • Degree in Engineering, Industrial Engineering, Data Science, or a related technical field
  • Several years of experience in manufacturing engineering or data analytics
  • Strong motivation to apply AI technologies to real manufacturing challenges
  • Experience leading technical projects or improvement activities

Expected Skill:

  • Hands-on experience applying AI or machine-learning techniques to real datasets or manufacturing problems
  • Practical experience with data analysis tools (Python, SQL, JMP, Power BI, etc.)
  • Understanding of manufacturing processes and basic industrial engineering concepts
  • Strong analytical and problem-solving mindset
  • Fluent Japanese speaker and Basic communication skills in English (reading/writing and participating in online meetings or email discussions)
  • Preferred Skills:
    • Experience in high-tech or semiconductor manufacturing
    • Knowledge of MES systems or digital manufacturing tools
    • Experience applying AI models to real-world production operations

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.

Skills Required

  • Degree in Engineering, Industrial Engineering, Data Science, or a related technical field
  • Several years of experience in manufacturing engineering or data analytics
  • Hands-on experience applying AI or machine-learning techniques to real datasets or manufacturing problems
  • Practical experience with data analysis tools such as Python, SQL, JMP, or Power BI
  • Understanding of manufacturing processes and basic industrial engineering concepts
  • Experience leading technical projects or improvement activities
  • Fluent Japanese and basic English communication skills
  • Experience in high-tech or semiconductor manufacturing
  • Knowledge of MES systems or digital manufacturing tools
  • Experience applying AI models to real-world production operations

Lumentum Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lumentum and has not been reviewed or approved by Lumentum.

  • Equity Value & Accessibility — Equity is positioned as a meaningful part of total compensation, with RSUs frequently framed as a valued component of offers. An employee stock purchase plan with a discount and look-back further reinforces equity access as part of rewards.
  • Retirement Support — Retirement benefits are presented as a clear strength, with a 401(k) match and immediate vesting highlighted as supportive features. Auto-enrollment and match eligibility details indicate a structured retirement program for U.S. employees.
  • Healthcare Strength — Multiple medical plan options are described, including PPO and HDHP/HSA choices and Kaiser in some locations, suggesting breadth and choice in coverage. Health and well-being programming is also characterized as part of a comprehensive benefits approach.

Lumentum Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Jose, CA
3,219 Employees

What We Do

Lumentum (NASDAQ: LITE) is a market-leading designer and manufacturer of innovative optical and photonic products enabling optical networking and laser applications worldwide. Lumentum optical components and subsystems are part of virtually every type of telecom, enterprise, and data center network. Lumentum lasers enable advanced manufacturing techniques and diverse applications including next-generation 3D sensing capabilities. Lumentum is headquartered in San Jose, California with R&D, manufacturing, and sales offices worldwide. For more information, visit www.lumentum.com.

Similar Jobs

Magna International Logo Magna International

ADAS-Customer Quality Engineer

Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Remote or Hybrid
Yokohama, Kanagawa, JPN
171000 Employees

Coursera + Udemy  Logo Coursera + Udemy

Solutions Engineer

Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Remote or Hybrid
Japan
1500 Employees

Ericsson Logo Ericsson

Development Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Remote or Hybrid
Yokohama, Kanagawa, JPN
88000 Employees

Ericsson Logo Ericsson

Development Engineer

Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Remote or Hybrid
Yokohama, Kanagawa, JPN
88000 Employees

Similar Companies Hiring

MFour Data Research Thumbnail
Marketing Tech • Software
Irvine, CA
98 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account