Full-Time

Microscopy Technician

Eon Systems

Eon Systems

11-50 employees

Brain emulation research company

Compensation Overview

$90k - $125k/yr

+ Equity

San Francisco, CA, USA

In Person

On-site in the Bay Area.

Bachelor's, Master's

Category
Lab & Research (1)

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Requirements
  • A local Bay Area candidate with a Bachelor’s or Master’s degree and at least 2 years of hands-on experience operating microscopes is required.
  • Demonstrated hands-on understanding of the theory and practice of modern fluorescence microscopy and associated instrumentation is required.
  • The candidate must be comfortable with day-to-day microscope alignment, calibration, and basic troubleshooting.
  • Strong organizational skills and the ability to keep a multi-step pipeline running smoothly with minimal oversight are required.
  • Familiarity with image acquisition and analysis software such as Fiji, Imaris, or similar software is required.
  • The ability to work collaboratively in a dynamic research environment is required.
Responsibilities
  • Operate microscopes to acquire high-resolution 3D image volumes of expanded neural tissue while sustaining high throughput and instrument uptime.
  • Help set up, align, and calibrate microscopes and new experiments or equipment as the imaging pipeline scales.
  • Handle mounting and storage of expanded hydrogel specimens carefully to protect sample integrity.
  • Troubleshoot day-to-day imaging issues and perform routine maintenance on microscopy equipment, escalating more complex instrument problems.
  • Implement and maintain imaging pipeline organization, including specimen, throughput, and issue tracking.
Desired Qualifications
  • Experience with expansion microscopy.
  • Hands-on familiarity with spinning-disk confocal or light-sheet systems.
  • Comfort working with custom or home-built optical setups, including assembling optics, aligning lasers, and managing software issues.
  • Basic scripting for acquisition or image processing.

Eon Systems is a neuroscience research company developing brain-emulation technology. The company collects connectomic data and builds computational models, simulations, and embodied digital representations of biological nervous systems. It serves neuroscience researchers, computational biologists, AI researchers, and organizations studying intelligence. Its operating model centers on experimental neuroscience, large-scale data collection, simulation, and software research. Teams work across neuroscience, computational biology, imaging, machine learning, simulation, software, and research operations. The business combines technical knowledge, practical execution, and ongoing support across the markets it serves.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • Eon Systems shipped a visible March 2026 fly-behavior demo, driving technical attention.
  • The company updated its site August 6, 2026, signaling active commercialization.
  • Hiring pages updated July 2026 show continued expansion across engineering and scientific operations.

What critics are saying

  • The fly demo still depends on machine learning and simple inputs, not real sensory loops.
  • Nature 2024 disclosed Eon ties, so scientific credibility remains fragile through 2026.
  • Mouse-brain and human-brain ambitions risk becoming an existential credibility collapse without reproducible scaling.

What makes Eon Systems unique

  • Eon Systems says it linked a 125,000-neuron fly connectome to a virtual body.
  • Its 2024 Nature-backed model reached 91% neural response accuracy using wiring alone.
  • The company spans scanning, tracing, structure-to-function prediction, and emulation runtime in-house.

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Benefits

Remote Work Options

Competitive salary and equity

Growth & Insights and Company News

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The Register
Mar 16th, 2026
Startup simulates fruit fly brain that walks, grooms, and hunts for sugar in virtual environment

San Francisco startup Eon Systems claims to have created the first digital simulation of a fruit fly brain capable of controlling a virtual body and producing recognisable behaviours. The team connected a whole-brain connectome of Drosophila melanogaster — containing 125,000 neurons and 50 million synapses — to a virtual body model using the Brian2 neural network simulator. The resulting model demonstrated fly-like behaviours including walking, antenna cleaning, and extending its proboscis when presented with sugar scent signals. Dr Steve Furber, co-creator of the ARM processor, called the work "pretty impressive". However, critics note the simulated brain doesn't operate exactly as a real fly's brain does, relying on machine learning clamped into a connectome shape. The research builds on existing work including the Flywire connectome and NeuroMechFly v2 model.