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Rethinking Engineering Team Structure

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Rethinking Engineering Team Structure

Why scaling engineering today requires more than hiring — and a more flexible approach to how teams are built.

​Engineering teams are being asked to deliver more — faster — during a period of uneven but real demand spikes. The Bureau of Labor Statistics projects faster-than-average growth rates for most engineering professions, from 5% for civil engineers to 7% for electrical and electronics engineers.

On paper, the outlook is strong. In practice, many organizations are discovering that growth projections alone don’t translate into delivery capacity.

The Engineering Shortage

The trouble comes when these robust growth projections meet dwindling supply. The American Council of Engineering Companies (ACEC) estimates an annual shortfall of roughly 180,000 engineers—a gap that shows little sign of closing. Several forces are driving the imbalance:

  • Demographic shifts:

    As with the broader workforce, more engineers are retiring than entering the field, thinning the mid and senior level talent pipeline.

  • Reduced access to international graduates:

    Visa constraints mean U.S. universities are training tens of thousands of qualified engineers who are unable to legally work in the U.S. after graduation.

  • Burnout and retention risk:

    According to ACEC, 47% of engineers cite burnout as their top career concern, ranking ahead of compensation or job security. That signals not just a hiring problem, but a looming retention one.

Against this backdrop, simply posting more jobs or offering higher pay often isn’t enough.

Why Engineering Team Structure Matters

When skilled talent is scarce, focusing exclusively on recruiting limits your options. Increasingly, engineering leaders are realizing that team structure itself has become a strategic lever.

If your organization has historically relied on an “onsite only” model, it may be worth reexamining that assumption. Data shows that full-time onsite roles take roughly 23% longer to fill than hybrid roles, narrowing an already tight talent pool and slowing time to productivity.

In other words, when demand is rising faster than supply, where and how work gets done can either constrain growth — or unlock it.

The Three Models: Where Each One Works Best

There is no universally “right” team structure. The most effective models align the nature of the work with the availability of skills, rather than forcing every role into the same mold.

Remote-First Engineering Teams

Remote models can be effective for digital-heavy work such as software engineering, simulation, design, documentation and quality assurance. They allow organizations to tap into broader geographic talent pools — particularly valuable for highly specialized or hard-to-find skills.

However, remote teams require mature governance, strong documentation, and deliberate collaboration norms to avoid communication breakdowns or quality drift.

Hybrid Engineering Teams

Hybrid structures have emerged as the default for many scaling organizations. They balance flexibility with in-person collaboration, making them well-suited for teams that span both hands-on and digital work.

The risk lies in execution. Without clear expectations, hybrid teams can inadvertently create “two-tier” cultures or collaboration friction. When done well, however, hybrid models often deliver the best mix of speed, resilience, and retention.

Onsite-First Engineering Teams

Onsite models remain essential for roles tied directly to equipment, labs, manufacturing environments, fieldwork or regulated facilities. In these contexts, physical presence is not a preference — it’s a requirement.

The tradeoff is scale. Onsite-only models restrict hiring to a narrower geographic radius and, in tight labor markets, can significantly slow growth.

For tips on staffing a construction project in a geographically remote area, see Addressing Construction Labor Shortages in Rural Areas.

Workforce Planning 2.0: Choosing the Right Structure

Rather than asking which model is best, leading organizations ask a more useful question: Which structure best fits the work we need to deliver?

Key considerations for workforce planning include:

  • The degree of hands-on or equipment dependent work

  • Security, regulatory or IP requirements

  • Collaboration intensity across disciplines

  • Where critical skills are available geographically

  • How quickly teams need to scale up or down as demand changes

This work-first lens allows organizations to blend models thoughtfully rather than defaulting to blanket mandates.

Scaling Patterns That Work Across Industries

As demand accelerates across infrastructure, manufacturing, energy, aerospace and technology, several scalable patterns are emerging:

  • Hub-and-spoke models, where onsite teams anchor delivery while remote specialists extend capacity

  • Hybrid product pods, supported by onsite “sprint” periods during critical build or launch phases

  • Follow-the-work models, where roles requiring physical presence remain onsite while digital workstreams operate remotely or hybrid

These approaches recognize that scalability comes not from uniformity, but from intentional design.

Making Any Model Perform

Team location alone does not guarantee results. High-performing engineering organizations invest just as much in how work flows as where people sit.

That includes:

  • Clear governance and quality standards

  • Strong communication rhythms that favor clarity over meetings

  • Secure, role-based access to systems and data

  • Managers who provide direction without micromanaging

Without these foundations, even the most flexible team structure can underperform.

Skilled Technical Talent: A Practical Way to Relieve Pressure

As engineering teams stretch to meet rising demand, many organizations are turning to skilled technical roles to relieve capacity constraints.

Skilled technical roles bridge the gap between engineering and execution. Positions such as engineering technicians, automation technicians, instrumentation technicians and field technicians handle hands-on testing, troubleshooting, calibration and system support, allowing engineers to focus on higher-value design, analysis and problem-solving work.

This role clarity reduces bottlenecks, speeds delivery and helps mitigate burnout —especially in hybrid and onsite anchored team structures where physical presence and equipment access are essential.

Skilled technical talent is not a substitute for engineers, but a force multiplier. When integrated intentionally, technicians extend engineering capacity, improve workflow efficiency and make scaling more achievable in tight labor markets.

When Demand Outpaces Supply

The effects of accelerating demand and dwindling supply are being felt across the country. One industry report found that 51% of engineering firms have had to turn down projects due to talent shortages. And those that haven’t are facing unexpected delays and escalating costs.

The Manpower Engineering Difference

When demand spikes and talent is scarce, the right team structure makes all the difference. Manpower Engineering delivers integrated engineering and skilled technical teams that scale quickly, reduce risk, and keep projects on track. Talk with our experts at [email protected] about a workforce model built for your industry realities.

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Rethinking Engineering Team Structure

Rethinking Engineering Team StructureWhy scaling engineering today requires more than hiring — and a more flexible approach to how teams are built.​Engineering teams are being asked to deliver more — faster — during a period of uneven but real demand spikes. The Bureau of Labor Statistics projects faster-than-average growth rates for most engineering professions, from 5% for civil engineers to 7% for electrical and electronics engineers.On paper, the outlook is strong. In practice, many organizations are discovering that growth projections alone don’t translate into delivery capacity.The Engineering ShortageThe trouble comes when these robust growth projections meet dwindling supply. The American Council of Engineering Companies (ACEC) estimates an annual shortfall of roughly 180,000 engineers—a gap that shows little sign of closing. Several forces are driving the imbalance:Demographic shifts:As with the broader workforce, more engineers are retiring than entering the field, thinning the mid and senior level talent pipeline.Reduced access to international graduates:Visa constraints mean U.S. universities are training tens of thousands of qualified engineers who are unable to legally work in the U.S. after graduation.Burnout and retention risk:According to ACEC, 47% of engineers cite burnout as their top career concern, ranking ahead of compensation or job security. That signals not just a hiring problem, but a looming retention one.Against this backdrop, simply posting more jobs or offering higher pay often isn’t enough.Why Engineering Team Structure MattersWhen skilled talent is scarce, focusing exclusively on recruiting limits your options. Increasingly, engineering leaders are realizing that team structure itself has become a strategic lever.If your organization has historically relied on an “onsite only” model, it may be worth reexamining that assumption. Data shows that full-time onsite roles take roughly 23% longer to fill than hybrid roles, narrowing an already tight talent pool and slowing time to productivity.In other words, when demand is rising faster than supply, where and how work gets done can either constrain growth — or unlock it.The Three Models: Where Each One Works BestThere is no universally “right” team structure. The most effective models align the nature of the work with the availability of skills, rather than forcing every role into the same mold.Remote-First Engineering TeamsRemote models can be effective for digital-heavy work such as software engineering, simulation, design, documentation and quality assurance. They allow organizations to tap into broader geographic talent pools — particularly valuable for highly specialized or hard-to-find skills.However, remote teams require mature governance, strong documentation, and deliberate collaboration norms to avoid communication breakdowns or quality drift.Hybrid Engineering TeamsHybrid structures have emerged as the default for many scaling organizations. They balance flexibility with in-person collaboration, making them well-suited for teams that span both hands-on and digital work.The risk lies in execution. Without clear expectations, hybrid teams can inadvertently create “two-tier” cultures or collaboration friction. When done well, however, hybrid models often deliver the best mix of speed, resilience, and retention.Onsite-First Engineering TeamsOnsite models remain essential for roles tied directly to equipment, labs, manufacturing environments, fieldwork or regulated facilities. In these contexts, physical presence is not a preference — it’s a requirement.The tradeoff is scale. Onsite-only models restrict hiring to a narrower geographic radius and, in tight labor markets, can significantly slow growth.For tips on staffing a construction project in a geographically remote area, see Addressing Construction Labor Shortages in Rural Areas.Workforce Planning 2.0: Choosing the Right StructureRather than asking which model is best, leading organizations ask a more useful question: Which structure best fits the work we need to deliver?Key considerations for workforce planning include:The degree of hands-on or equipment dependent workSecurity, regulatory or IP requirementsCollaboration intensity across disciplinesWhere critical skills are available geographicallyHow quickly teams need to scale up or down as demand changesThis work-first lens allows organizations to blend models thoughtfully rather than defaulting to blanket mandates.Scaling Patterns That Work Across IndustriesAs demand accelerates across infrastructure, manufacturing, energy, aerospace and technology, several scalable patterns are emerging:Hub-and-spoke models, where onsite teams anchor delivery while remote specialists extend capacityHybrid product pods, supported by onsite “sprint” periods during critical build or launch phasesFollow-the-work models, where roles requiring physical presence remain onsite while digital workstreams operate remotely or hybridThese approaches recognize that scalability comes not from uniformity, but from intentional design.Making Any Model PerformTeam location alone does not guarantee results. 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Positions such as engineering technicians, automation technicians, instrumentation technicians and field technicians handle hands-on testing, troubleshooting, calibration and system support, allowing engineers to focus on higher-value design, analysis and problem-solving work.This role clarity reduces bottlenecks, speeds delivery and helps mitigate burnout —especially in hybrid and onsite anchored team structures where physical presence and equipment access are essential.Skilled technical talent is not a substitute for engineers, but a force multiplier. When integrated intentionally, technicians extend engineering capacity, improve workflow efficiency and make scaling more achievable in tight labor markets.When Demand Outpaces SupplyThe effects of accelerating demand and dwindling supply are being felt across the country. One industry report found that 51% of engineering firms have had to turn down projects due to talent shortages. 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At the same time, they say soft skills such as Ethical Judgment, Customer Service, and Team Management (all at 29%) are highly valued and difficult for AI to automate.  Software-Driven Transformation and AutomationThe automotive industry is rapidly transitioning toward software-defined vehicles (SDVs), where features and functions, like Wi-Fi capabilities and self-driving, are managed primarily by pay-to-use software. By 2030, companies like Stellantis and General Motors expect to generate over $20 billion annually from subscription-based services. This “software first” mindset is not only changing product development but also has far-reaching implications for workforce composition.Factory floor workers are seeing their roles change as AI-driven process automation expands into areas like production forecasting and predictive maintenance.AI is being deployed to optimize manufacturing and maintenance, delivering faster, more reliable processes.However, this comes with a degree of workforce anxiety. Nearly half (42%) of automotive employees worry that advancing technology could make their roles obsolete within two years. Upskilling, continuous learning, and thoughtful change management are essential to support employees through times of disruption.  The Talent Crunch: Recruitment, Retention, and ReskillingDespite uncertainty, the need for skilled talent remains acute. Most automakers (74%) still struggle to find the skilled talent they need, and an aging workforce is exacerbating the problem. In the U.S. alone, 10,000 Baby Boomers (those born between 1946 and 1964) reach retirement age every day, and 72% of automotive employers worry about the impact on their HR strategies.At the same time, when we speak with clients, they admit it’s not necessarily an industry that is still very attractive for young people. With frequent headlines about crises, plant closures, and headcount reductions, they understand why more effort is needed to recruit young skilled technical talent. This is why they are working to attract more women and diverse talent to the sector to expand the size of prospective talent pools. Opportunity Amidst DisruptionWhile the challenges are significant, the disruption also creates opportunity. The current business uncertainty has opened access to a broader pool of skilled workers, and “buy low and develop” hiring strategies may allow bold employers to secure top talent. New business models, such as recurring revenue from software-enabled services, could create $1.5 trillion in new opportunities by 2030, according to McKinsey.Forward-thinking business leaders are leveraging skills mapping and global talent sourcing—especially for remote-capable roles—to build more resilient organizations. Continuous learning is no longer optional; it is a prerequisite for success in this era of rapid change.Our 2025 Automotive World of Work report explores how automakers will navigate the balance between tradition and innovation, caution and transformation, challenge and opportunity. Employers must strike a delicate balance—investing in new skills and technologies that will define the future, while supporting and reskilling their existing talent base.Article originally written by Julien Matalou, Global Vice President, Consumer Goods & Automotive for ManpowerGroup Global.

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