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Remote Nanofabrication Jobs (NOW HIRING)

IDEX

Sr. Product Manager - Nanoparticles

Lakeville, MA · Remote

$132K - $174K/yr

Remote working - East Coast USA Region SCOPE OF ROLE * The Sr. Product Manager - Nanoparticles is ... Develop and deliver product training and positioning suited to the nanoparticle area. KEY SKILLS ...

QCi

$134K - $185K/yr

... well as remote sensing applications. Position Description: We are seeking a new FPGA Design ... optical, nanofabrication, hardware, FPGA, and embedded engineers. Together, you'll develop ...

The Refinery

AI Design Intern (Remote)

Los Angeles, CA · Remote

$20 - $25/hr

Familiarity with modern AI generation platforms and models (Higgsfield, Nano Banana Pro, Firefly) and iteration at speed * Working knowledge of Photoshop (including layers, masking, basic compositing ...

New

Jobgether

Join a forward-thinking remote team shaping the future of AI-generated visual content at scale. In ... Strong expertise with generative AI ecosystems such as ComfyUI, Flux, Nano Banana Pro, ChatGPT ...

New

TrueShort

Reference Designer

Los Angeles, CA · On-site +1

Experience with AI image-generation tools (Midjourney, Nano Banana, Seedream, Flux, etc ... Los Angeles preferred (open to remote) To Apply Please send: * Portfolio or relevant work samples

Bruker

Title Business Development Manager, AST

Location US-Remote Type Employee Full Time/Part Time Full Time Overview Bruker is enabling ... microscopy and nano analysis, and in industrial applications, as well as in cell biology ...

Hightouch

Forward Deployed Creative Strategist

New York, NY · On-site +1

$180K - $250K/yr

... and Nano Banana 2) are optimized for conversion and pilot success. * Shape the Playbook: As the ... with our remote-first policy. We also offer meaningful equity compensation in the form of ISO ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... metal nanoparticle synthesis and spectroscopy. Research will focus on the investigation of ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... nanofabrication, and low temperature and high magnetic field measurements. The ideal candidate ...

Nothing

Influencer Manager

New York, NY · On-site +1

$92K - $120K/yr

Execute nano, micro, and macro influencer campaigns across paid and organic; * Build relationships ... For an exceptional candidate, we're open to discussing a remote arrangement.

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Remote Nanofabrication information

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How much do remote nanofabrication jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote nanofabrication in the United States is $135,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,500.00 and $131,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote nanofabrication engineer, and why are they important?

To thrive as a Remote Nanofabrication Engineer, you need a solid background in materials science, physics, or engineering, along with hands-on experience in nanofabrication processes. Familiarity with tools like electron beam lithography systems, scanning electron microscopes, and software for remote equipment control is essential, and certifications in cleanroom safety or nanotechnology are advantageous. Strong problem-solving, attention to detail, and effective virtual communication skills help in collaborating with distributed teams and troubleshooting complex issues remotely. These skills ensure precision, safety, and seamless project execution in the highly specialized and collaborative field of remote nanofabrication.

What is remote nanofabrication?

Remote nanofabrication is the process of designing and fabricating nanoscale structures and devices using specialized equipment that can be accessed and controlled over the internet. This allows researchers and engineers to perform complex fabrication tasks from anywhere in the world, without being physically present in a cleanroom facility. Remote nanofabrication is commonly used in academic, industrial, and research settings to accelerate prototyping, lower costs, and expand access to advanced nanotechnology tools.

Does remote nanofabrication pay well?

Remote nanofabrication jobs typically offer competitive salaries that reflect specialized skills in nanotechnology, cleanroom environments, and advanced equipment operation. Compensation varies based on experience, education, and the complexity of projects, with many roles offering above-average pay in the tech and research sectors.

What are the main challenges of collaborating with a remote team in nanofabrication projects?

Collaborating remotely in nanofabrication can present challenges such as coordinating access to specialized equipment, ensuring clear communication across time zones, and maintaining stringent quality control without in-person supervision. Teams often rely on advanced collaboration tools, meticulous documentation, and frequent virtual meetings to stay aligned. Building strong relationships with on-site technicians and leveraging remote monitoring systems are essential for overcoming these hurdles and ensuring project success.

What is the difference between Remote Nanofabrication vs Remote Microfabrication?

AspectRemote NanofabricationRemote Microfabrication
CredentialsTypically requires nanotechnology or materials science degrees, certifications in cleanroom proceduresRequires similar degrees, often with focus on microtechnology or electrical engineering
Work EnvironmentLaboratory or cleanroom settings, often with specialized equipment, but increasingly remote for design and analysisLaboratory or cleanroom environments, with remote design and process planning capabilities
Industry UsageUsed in semiconductor, nanotech research, and advanced materials industriesCommon in microelectronics, MEMS device manufacturing, and sensor development

Remote Nanofabrication and Remote Microfabrication share similar educational backgrounds and work environments, focusing on precision manufacturing at different scales. While nanofabrication deals with structures at the atomic or molecular level, microfabrication focuses on micrometer-scale devices. Both roles are integral to advanced technology industries and increasingly incorporate remote work for design, analysis, and process planning.

More about Remote Nanofabrication jobs
What cities are hiring for Remote Nanofabrication jobs? Cities with the most Remote Nanofabrication job openings:
What are the most commonly searched types of Nanofabrication jobs? The most popular types of Nanofabrication jobs are:
What states have the most Remote Nanofabrication jobs? States with the most job openings for Remote Nanofabrication jobs include:
What job categories do people searching Remote Nanofabrication jobs look for? The top searched job categories for Remote Nanofabrication jobs are:
Remote Nanofabrication jobs near you
Infographic showing various Remote Nanofabrication job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $135,300 per year, or $65 per hour.

Assistant Physicist

Argonne National Laboratory

Lemont, IL • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

The X-ray Imaging Group (https://www.aps.anl.gov/Imaging) of the X-ray Science Division (XSD) operates the full-field x-ray imaging beamlines at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) and pursues collaborative research across materials, energy, environmental, geo-, and life sciences using micro- and nano-tomography and high-speed imaging.

With the APS Upgrade driving a substantial increase in data rates and experimental complexity, the group is investing in AI/ML-driven software, automation, and autonomous experimentation, including a planned fully autonomous, AI-driven tomography beamline - to keep pace with user demand and unlock new science. This work is carried out in close coordination with the APS Computational science and AI (CAI) (https://cai.xray.aps.anl.gov/) group and other APS AI efforts and activities spanning data, computing, and machine learning across the facility. The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer.

We seek highly motivated candidates with strong expertise in AI/ML and in the development of AI tools for scientific operations to join the X-ray Imaging Group. The successful candidate will lead the design and deployment of AI-powered software that supports user operations, automates data acquisition and analysis, and enables closed-loop, autonomous experiments across the group's beamlines.

Position Responsibilities:

  • Design, develop, and deploy AI/ML tools for x-ray imaging operations including reconstruction, super-resolution, spatiotemporal fusion, denoising, segmentation, and feature extraction - and integrate them into the beamline software stack.

  • Build closed-loop experimental workflows in which AI agents use streaming data and real-time reconstruction and analysis to steer measurement decisions, and contribute to the development of a fully autonomous, AI-driven tomography beamline as a flagship project for the group.

  • Collaborate with the APS Computation and AI (CAI) group and engage with other APS AI efforts and activities to align Imaging Group tools with facility-wide AI/ML infrastructure, data services, and computing resources, and to contribute to shared frameworks for autonomous experimentation.

  • Develop automated pipelines for acquisition, quality control, and downstream analysis that translate beamline-scientist expertise and currently manual operational steps into robust, reusable software.

  • Build and maintain pipelines for robust metadata capture and the systematic generation of curated, standardized datasets to support continual AI/ML model training and validation.

  • Provide on-site support for user operations and data collection across the X-ray Imaging Group beamlines, working directly with beamline staff and users during experiments.

  • Contribute to the longer-term extension of AI-enabled automation and autonomy across Imaging Group modalities, including micro- and nano-tomography and high-speed imaging.

  • Prepare experiments and instruments for remote and AI-driven operation.

  • Present research results through publications, conferences, and scientific meetings.

  • May be required to perform other duties as assigned.

Position Requirements

  • Ph.D. in computer science, electrical engineering, computational physics, computational materials science, applied mathematics, or a closely related field.

  • Demonstrated expertise in AI/ML applied to imaging or scientific data, including hands-on experience developing and deploying deep-learning models (e.g., CNNs, vision transformers, diffusion models, or related architectures).

  • Strong scientific software development skills in Python and modern deep-learning frameworks (e.g., PyTorch, TensorFlow), including experience with distributed training on high-performance computing resources.

  • Experience with high-performance computing (HPC) and/or cloud environments.

  • Experience with version control (e.g., Git) and collaborative software development practices.

  • Experience working with experimental imaging data, ideally at a synchrotron, electron microscopy, medical imaging, or comparable facility.

  • Ability to work effectively both independently and in a collaborative, team-based research environment.

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience

  • Experience developing AI/ML methods specifically for x-ray imaging, tomography, or high-speed imaging applications.

  • Experience designing or contributing to automated, remote, or closed-loop ("self-driving") experimental workflows, including real-time data reduction, on-the-fly reconstruction, and AI-based experimental steering.

  • Experience collaborating with facility-level computing, data, or AI groups to deploy software into production scientific environments.

  • Experience handling high-rate, large-volume imaging datasets and developing high-throughput reconstruction or analysis pipelines.

  • Experience contributing to open-source scientific software projects.

  • Familiarity with metadata standards, data management, and curation practices that support reproducible science and ML training datasets.

  • Familiarity with beamline data acquisition systems, detectors, or controls software, sufficient to integrate AI tools into operational workflows.

Job Family

Research Development (RD)

Job Profile

Physics 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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