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Nanosystems Engineers

Design, develop, or supervise the production of materials, devices, or systems of unique molecular or macromolecular composition, applying principles of nanoscale physics and electrical, chemical, or biological engineering.

Median Annual Pay
$111,970
Range: $62,130 - $177,020
Training Time
8-12 years
AI Resilience
🟡AI-Augmented
Education
Doctoral degree

📋Key Responsibilities

  • Provide scientific or technical guidance or expertise to scientists, engineers, technologists, technicians, or others, using knowledge of chemical, analytical, or biological processes as applied to micro and nanoscale systems.
  • Supervise technologists or technicians engaged in nanotechnology research or production.
  • Conduct research related to a range of nanotechnology topics, such as packaging, heat transfer, fluorescence detection, nanoparticle dispersion, hybrid systems, liquid systems, nanocomposites, nanofabrication, optoelectronics, or nanolithography.
  • Synthesize, process, or characterize nanomaterials, using advanced tools or techniques.
  • Prepare reports, deliver presentations, or participate in program review activities to communicate engineering results or recommendations.
  • Design or conduct tests of new nanotechnology products, processes, or systems.
  • Create designs or prototypes for nanosystem applications, such as biomedical delivery systems or atomic force microscopes.
  • Write proposals to secure external funding or to partner with other companies.

💡Inside This Career

The nanosystems engineer designs at the molecular scale—developing materials, devices, and systems where nanoscale physics governs behavior, from drug delivery particles to advanced materials to quantum devices. A typical week blends research with development and characterization. Perhaps 40% of time goes to synthesis and fabrication: creating nanomaterials, building nanostructures, processing samples. Another 30% involves characterization and analysis—using advanced instruments to measure nanoscale properties, interpreting results, understanding behavior. The remaining time splits between documentation, research planning, literature review, and coordinating with collaborators across scientific disciplines.

People who thrive as nanosystems engineers combine comfort with cutting-edge science and patience for the long timelines that nanoscale work requires. Successful engineers develop expertise in specific nanoscale domains—materials, devices, bio-nano interfaces—while building the characterization skills that working at scales beyond direct observation demands. They must accept that much nanotechnology remains closer to research than production engineering. Those who struggle often want faster transitions from concept to application or find working with phenomena they cannot directly see frustrating. Others fail because they cannot maintain rigor when results depend on instruments and protocols rather than direct observation.

Nanosystems engineering applies nanoscale science to practical applications, with engineers working on advanced materials, drug delivery, sensors, electronics, and emerging applications where nanoscale effects enable new capabilities. The field sits between fundamental research and production engineering, translating nanoscale discoveries toward commercial applications. Nanosystems engineers appear in discussions of advanced materials, biotechnology, semiconductor technology, and the exploitation of nanoscale phenomena.

Practitioners cite the frontier nature of the work and the potential for transformative applications as primary rewards. Working at technology's edge provides intellectual excitement. The potential applications could change industries. The science is genuinely fascinating. The expertise is rare and valued. The work contributes to fundamental understanding. Common frustrations include the gap between nanoscale demonstrations and manufacturable products, and the long timelines before applications reach market. Many find that promising laboratory results rarely translate to production. The field requires expensive equipment that limits where work can be done. Career paths can be unclear in a field still defining itself.

This career requires advanced engineering or science education emphasizing nanoscale phenomena, combined with laboratory research experience. Strong experimental, analytical, and scientific communication skills are essential. The role suits those comfortable at the science-engineering boundary who can tolerate long development horizons. It is poorly suited to those seeking immediate practical application, preferring established engineering disciplines, or uncomfortable with research uncertainty. Compensation varies based on sector and role, with positions in research institutions, semiconductor companies, and emerging nanotechnology firms.

📈Career Progression

1
Entry (10th %ile)
0-2 years experience
$62,130
$55,917 - $68,343
2
Early Career (25th %ile)
2-6 years experience
$83,250
$74,925 - $91,575
3
Mid-Career (Median)
5-15 years experience
$111,970
$100,773 - $123,167
4
Experienced (75th %ile)
10-20 years experience
$146,060
$131,454 - $160,666
5
Expert (90th %ile)
15-30 years experience
$177,020
$159,318 - $194,722

📚Education & Training

Requirements

  • Entry Education: Doctoral degree
  • Experience: Extensive experience
  • On-the-job Training: Extensive training
  • !License or certification required

Time & Cost

Education Duration
8-12 years (typically 9)
Estimated Education Cost
$55,728 - $338,130
Source: college board (2024)

🤖AI Resilience Assessment

AI Resilience Assessment

Moderate human advantage with manageable automation risk

🟡AI-Augmented
Task Exposure
Medium

How much of this job involves tasks AI can currently perform

Automation Risk
Medium

Likelihood that AI replaces workers vs. assists them

Job Growth
Stable
0% over 10 years

(BLS 2024-2034)

Human Advantage
Moderate

How much this role relies on distinctly human capabilities

Sources: AIOE Dataset (Felten et al. 2021), BLS Projections 2024-2034, EPOCH FrameworkUpdated: 2026-01-02

💻Technology Skills

CAD software (AutoCAD)Simulation software (ANSYS)Nanofabrication softwareImaging/analysis softwareMicrosoft OfficeProgramming (Python, MATLAB)

Key Abilities

Oral Comprehension
Written Comprehension
Oral Expression
Deductive Reasoning
Inductive Reasoning
Near Vision
Written Expression
Information Ordering
Category Flexibility
Originality

🏷️Also Known As

Durability EngineerNanoelectronics EngineerNanofabrication EngineerNanofabrication Research EngineerNanoindentation Applications EngineerNanomaterials Research ScientistNanomaterials Synthesis Research ScientistNanosystems EngineerNanotechnology EngineerNanotechnology Materials Scientist+4 more

🔗Related Careers

Other careers in engineering

🔗Data Sources

Last updated: 2025-12-27O*NET Code: 17-2199.09

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