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Thin Films Process Engineer Jobs in Avon, MA (NOW HIRING)

Sr. Process Engineer

Norwood, MA · Hybrid

$117K - $152K/yr

Must be an expert in the manufacturing/process engineering and development of Hybrid Microcircuits, Thick/Thin Film processing, and packaging technology. * Participated in involving product design ...

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Thin Films Process Engineer information

See Avon, MA salary details

$50.5K

$93.8K

$145.3K

How much do thin films process engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for thin films process engineer in Avon, MA is $93,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What does a thin films process engineer do?

A Thin Films Process Engineer is responsible for developing, optimizing, and troubleshooting processes used to deposit thin layers of materials onto substrates, often for use in semiconductors, solar panels, or optical devices. They work with various deposition techniques such as physical vapor deposition (PVD), chemical vapor deposition (CVD), and atomic layer deposition (ALD) to achieve desired film properties. Their role involves process design, equipment maintenance, quality control, and collaborating with cross-functional teams to improve product performance and yield.

What are the key skills and qualifications needed to thrive as a thin films process engineer?

To thrive as a Thin Films Process Engineer, you need a solid background in materials science or engineering, experience with thin film deposition techniques, and a relevant bachelor's or advanced degree. Familiarity with tools such as sputtering systems, chemical vapor deposition (CVD) equipment, and statistical process control software is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills set top performers apart in this role. These competencies enable precise process optimization, ensure high-quality film production, and facilitate effective collaboration across engineering and manufacturing teams.

What are some common challenges faced by thin films process engineers, and how can they be addressed?

Thin Films Process Engineers often encounter challenges such as maintaining uniform film thickness, preventing contamination, and optimizing process parameters for different materials. These issues can typically be addressed by closely monitoring equipment, following strict cleanroom protocols, and collaborating with cross-functional teams like R&D and quality assurance to troubleshoot and refine deposition processes. Continuous learning and staying updated with new thin film technologies also help engineers effectively solve production problems and drive process improvements.

What is the difference between Thin Films Process Engineer vs Chemical Process Engineer?

AspectThin Films Process EngineerChemical Process Engineer
CredentialsBachelor's in Materials Science, Chemical Engineering, or related field; certifications varyBachelor's or higher in Chemical Engineering; certifications may include PE license
Work EnvironmentCleanroom, semiconductor, or electronics manufacturing facilitiesChemical plants, manufacturing facilities, or research labs
Industry UsageSemiconductor, electronics, optics industriesPetrochemical, pharmaceuticals, chemical manufacturing
Job FocusDeveloping and optimizing thin film deposition processesDesigning and improving chemical production processes

The main difference between a Thin Films Process Engineer and a Chemical Process Engineer lies in their focus areas. Thin Films Process Engineers specialize in thin film deposition techniques used in electronics and semiconductor industries, while Chemical Process Engineers focus on chemical manufacturing and process optimization across various industries. Both roles require a background in chemical engineering principles, but their work environments and specific process expertise differ.

Are process engineers in high demand?

Process engineers, including those specializing in thin films, are in high demand due to their expertise in manufacturing, quality control, and process optimization across industries such as electronics and semiconductors. The demand is driven by technological advancements and the need for efficient production processes, often requiring skills in automation and process control systems.

What cities near Avon, MA are hiring for Thin Films Process Engineer jobs?

Cities near Avon, MA with the most Thin Films Process Engineer job openings:

Infographic showing various Thin Films Process Engineer job openings in Avon, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $93,828 per year, or $45.1 per hour.

Scientist, Epitaxial Thin Film Synthesis

Cambridge, MA

Full-time

Re-posted 17 days ago


Job description

Your Impact at LILA

As an epitaxial thin film scientist on the Materials Science team at Lila Sciences, you will serve as the lead for synthesis of high-quality epitaxial thin films, contributing to the discovery of novel quantum materials with emergent electronic and magnetic properties. Your domain expertise at the intersection of materials growth, structural characterization, and electronic transport will translate into the method design and automated workflow to enable high throughput experimentation that Lila's autonomous science platform learns from.

This work contributes to Lila's materials science programs focused on the predictive design of novel material families and compounds with novel functional properties. You will design growth and characterization protocols that shape how the platform interrogates new material systems, and your experimental outputs feed directly into the next round of campaigns.

You will partner with experimentalists, systems engineers, and machine learning scientists, providing the functional-properties knowledge that keeps closed-loop campaigns scientifically grounded and accelerating toward next-generation materials systems.

What You'll Be Building

  • Grow single-crystal epitaxial thin films and heterostructures using epitaxial deposition methods (sputtering, pulsed-laser deposition, molecular beam epitaxy).
  • Optimize deposition conditions (substrate temperature, flux ratios, growth rate) to achieve atomically sharp interfaces and target crystal phases.
  • Analyze XRD and AFM data.
  • Design, fabricate, and measure electronic transport devices, including temperature-dependent resistivity, Hall effect, and magnetoresistance.
  • Analyze magneto-transport data to extract physical parameters and identify emergent ground states.
  • Maintain deposition and characterization equipment; troubleshoot hardware and vacuum systems.
  • Collaborate with theorists and computational scientists to inform materials selection and interpret experimental results.

What You'll Need to Succeed

  • Ph.D. in Physics, Materials Science, Applied Physics, or a closely related field.
  • Minimum of 4 years of hands-on experience growing epitaxial thin films (including graduate research).
  • Demonstrated expertise in XRD-based structural analysis of crystalline thin films.
  • Proficiency with surface characterization.
  • Strong background in electronic and magneto-transport measurements at cryogenic temperatures.
  • Experience operating RHEED for in-situ growth monitoring.
  • Knowledge of vacuum science and ultra-high-vacuum system maintenance.

Bonus Points For

  • Track record of synthesizing thin film materials exhibiting correlated-electron phenomena (e.g., magnetism, spin-orbit coupling effects, or low-carrier-density transport anomalies).
  • Publication record in peer-reviewed journals commensurate with experience.
  • Experience with combinatorial or high-throughput approaches to materials discovery.
  • Experience with sputtering processes including DC, RF, and HiPIMS modes.
  • Familiarity with lithographic patterning for transport device fabrication.
  • Background in Bayesian optimization or machine-learning-guided experimental design.