Experienced Method Engineer

Experienced Method Engineer

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

Volvo Construction Equipment in Eskilstuna is strengthening our methods organization to meet today’s manufacturing needs and tomorrow’s digital service and maintenance landscape. We are looking for a Method Engineer with strong machine understanding, ideally with hands-on experience from physical work on machines, combined with curiosity and capability in emerging areas such as AI, VR/AR and data analytics for predictive maintenance.

About the role

Our operating model is evolving, and so are the needs of competence for method engineering. The role is moving from mainly operative, mechanic-focused work toward a broader profile: mechanic/electronic/data analytics competence, agile ways of working, and a stronger focus on future business critical capability building (including AI, predictive maintenance and VR/AR). You will support both “transform and perform” by improving current deliveries while building capability for future projects.

What you will do

• Lead development and continuous improvement of manufacturing methods within your area, acting as a specialist and go-to support.

• Participate early in product introductions, changes and feasibility studies to ensure manufacturability and robust methods.

• Drive rationalizations and improvements, sharing best practices across the methods area and supporting operational excellence.

• Ensure method and process standards are met and maintained; contribute to quality development work and structured feedback loops.

• Lead or contribute to projects investigating and implementing solutions that improve safety, quality, cost and delivery performance.

• Support tooling and investment needs, including introducing and phasing out tools and monitoring tool cost development.

• Act as a trainer/coach in your methods area and help develop needed training and competence plans (2–3-year method strategy).

• Collaborate cross-functionally (production, preparation, product development, IT/data) and with global stakeholders to deliver and scale methods.

• Contribute to digitalization initiatives, e.g., identifying the right data points, enabling data collection and analysis, and supporting use cases such as predictive diagnostics and maintenance.

• Help mature ways of working from traditional approaches toward more agile, learning-oriented and digital methods.

Future competence focus (AI, VR/AR & analytics)

You will be part of a competence shift that strengthens method engineering with new digital capabilities. Depending on your background, you may contribute to one or several of the following areas:

• Predictive diagnostics and maintenance: service/production data understanding, analysis, and practical application.

• Digital service platforms and data ecosystems: service data platforms, digital twins, AI-enabled assistants, workshop/production software.

• AR/VR and simulation: supporting service readiness, training, and method verification through immersive tools.

• Cross-domain integration: working across mechanical, electrical/electronic and software domains in an integrated ecosystem.

• Service intelligence and analytics: developing insights that improve availability, maintainability and lifecycle cost.

Who you are

You combine a solid technical foundation with a pragmatic, hands-on mindset. You enjoy guiding others, making continuous improvements and balancing short-term delivery with long-term capability building.

Requirements

• University degree in engineering (or equivalent experience).

• Strong machine understanding: experience from working physically with machines (e.g., service/maintenance/assembly) is highly valued.

• Solid understanding of manufacturing capability, methods and process standards.

• Structured problem-solving skills and ability to work in complex environments.

• Good knowledge of MS Office.

• Fluent in Swedish and English.

Meriting

• Experience or strong interest in data analytics, AI and/or predictive maintenance.

• Interest or experience in VR/AR, simulation or digital development environments.

• Knowledge of CAD, simulation or other digital engineering tools.

• Experience working in agile or iterative development ways of working.

• Benchmarking experience and participation in development forums/networks.

What’s in it for you?

Your authority

• Stop production to address quality deviations.

• Block incorrect material.

• Prioritize activities within your methods area.

• Make method choices within your responsibility.

What we offer

• The role where classic mechanics meets digitalization—help shape how methods evolve with AI, data and immersive tools.

• Opportunity to drive real change in an organization on a transformation journey with a strong focus on digital ways of working.

• Competence development opportunities and collaboration with international teams and experts.

• A supportive environment where you can influence, improve and standardize methods with impact on safety, quality and efficiency.

Ready for the next move?

If you are eager to make a meaningful impact and grow with us, we look forward to receiving your application.

Inclusion, Diversity & Equity

We want everyone to bring their full authentic self to work and thrive in a safe and supportive environment. Even if you don’t meet every qualification, we encourage you to apply, let’s decide together if this role is the right match.

Volvo Construction Equipment is part of the Volvo Group, driven by our purpose to build the world we want to live in. Join us and help build a better tomorrow.

For questions, please contact:

Mia Mäkäräinen, Head of AM Engineering Methods, mia.makarainen@volvo.com

Åsa Öberg, People & Culture Partner, asa.oberg@volvo.com

Last day for apply: May 27th

Location: Eskilstuna

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