Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

Industrial Engineer

magna150 open roles

Where
Highland Park, Michigan, US
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowIndustrial Engineermagna · Highland Park, Michigan, US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on magna's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. magna postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted today

magna median: 2 days open

The posting

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as foam and trim products for global automotive, heavy truck and bus industries. Our capabilities include market and consumer research; full concept development; design and engineering capabilities; testing, validation and world-class manufacturing. Our award-winning seating solutions are developed from consumer research, finding the ease of operation to be comfortable, convenient and connected.

Job Responsibilities:

The Industrial Engineer is responsible for designing, optimizing, and governing material flow throughout the entire value stream, from the supply base through manufacturing and ultimately to the operator workstation. This role owns the Digital Plan for Every Part (PFEP), leveraging advanced analytics, artificial intelligence (AI), simulation modeling, and Factory of the Future technologies to create a highly efficient, data-driven material delivery system. The position serves as the strategic leader for material conveyance, inventory optimization, automation integration, and future-state manufacturing logistics.

YOUR RESPONSIBILITIES

Digital PFEP Ownership & Governance

· Develop, maintain, and govern a comprehensive Digital PFEP database for all production and indirect materials.

· Ensure accurate part attributes including dimensions, packaging, consumption rates, storage locations, transportation methods, and delivery frequencies.

· Establish data governance standards to maintain PFEP accuracy and integrity.

· Collaborate with Supply Chain, Manufacturing Engineering, Launch, Purchasing, and Operations teams to ensure alignment.

· Drive PFEP integration with ERP, MES, WMS, and automated material handling systems.

Material Flow Optimization

· Analyze end-to-end material movement from supplier docks through production consumption.

· Develop optimal replenishment strategies including JIT, sequenced delivery, line-side presentation, and supermarket systems.

· Establish standardized material presentation methods to improve ergonomics and productivity.

· Reduce touches, travel distance, inventory levels, and material handling waste.

· Lead Value Stream Mapping and Material Flow Mapping initiatives.

AI-Powered Logistics Analytics

· Utilize AI tools to analyze material consumption patterns and logistics performance.

· Develop predictive models for inventory shortages, line disruptions, container utilization, and supplier performance.

· Use machine learning algorithms to identify inefficiencies and optimization opportunities.

· Create automated dashboards and decision-support tools for operations teams.

· Partner with Digital Manufacturing and IT teams on AI roadmap development.

Material Flow Simulation & Digital Twin Development

· Build simulation models of material movement using Digital Twin technologies.

· Model AMR routes, tugger paths, supermarket sizing, storage requirements, and conveyance systems.

· Simulate production changes, volume increases, labor reductions, and automation investments.

· Evaluate scenarios for new product launches and facility expansions.

· Use simulation outputs to support capital expenditure decisions and ROI analysis.

Automation & Conveyance Strategy

· Develop strategies for AMRs, AGVs, ASRS, automated conveyors, smart carts, autonomous forklifts, and future logistics technologies.

· Evaluate automation opportunities that improve safety, quality, and productivity.

· Support implementation of automated replenishment and material tracking systems.

· Ensure integration between physical automation systems and digital planning tools.

· Drive standardization of automated logistics processes across the facility.

Factory of the Future Leadership

· Research emerging technologies and evaluate applicability within manufacturing operations.

· Develop multi-year roadmaps for logistics automation and Industry 4.0 implementation.

· Identify opportunities for real-time data collection and autonomous decision-making systems.

· Integrate IoT, AI, Digital Twins, and predictive analytics into daily operations.

· Establish future-state material handling standards to support increasing automation.

Inventory & Capacity Optimization

· Determine optimal inventory levels throughout the production process.

· Establish storage strategies for supermarkets, warehouses, ASRS systems, and point-of-use locations.

· Analyze container density, rack utilization, and warehouse capacities.

· Support supply chain risk mitigation planning.

· Drive inventory reduction initiatives while maintaining delivery performance.

Cross-Functional Project Leadership

· Lead material flow improvements for new product launches and plant expansions.

· Support manufacturing engineering, operations, maintenance, and supply chain teams.

· Present business cases and recommendations to leadership teams.

· Drive continuous improvement initiatives utilizing Lean Manufacturing principles.

· Manage logistics-related capital and continuous improvement projects.

WHO WE ARE LOOKING FOR

Education/Certification/Licensure:

  • Bachelor's degree in Supply Chain, Industrial Engineering, Manufacturing Engineering, Logistics, Operations Management, Data Analytics, or related field; or an equivalent combination of education and experience preferred.

Experience:

  • 5+ years in manufacturing logistics, material flow, industrial engineering, supply chain, or automation.
  • Experience managing PFEP systems.
  • Experience with automation technologies including AMRs, AGVs, ASRS, and smart manufacturing systems.
  • Experience with simulation software and analytical tools.
  • Experience within automotive, aerospace, or advanced manufacturing environments preferred.

Knowledge/Skills/Abilities:

  • Digital PFEP Development
  • Material Flow Engineering
  • AI & Machine Learning Applications
  • Simulation Modeling
  • Digital Twin Technology
  • Industry 4.0 Systems
  • Warehouse Management Systems
  • ERP Systems (SAP, Oracle, QAD)
  • Power BI, Tableau, SQL
  • Lean Manufacturing
  • Value Stream Mapping

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Magna Seating

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against magna's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on magna's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    magna's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.