Join Our Team at Eon!
Are you passionate about the intersection of neurobiology and technology? Do you envision yourself shaping the future of digital human intelligence? If yes, then we want to connect with you!
Don't see a position that fits you?
No problem! We haven't listed all the roles we're looking for. If you don’t see any open positions that align with your expertise, but you're still excited about our mission, we encourage you to reach out!
Why Join Eon?
Innovative Environment: Work on groundbreaking projects that push the boundaries of science and technology.
Collaborative Team: Join a diverse, dynamic group that thrives on collaboration and creativity.
Ownership Culture: Take full responsibility for your projects and see your ideas come to life.
Impactful Work: Contribute to projects that have the potential to revolutionize the future of intelligence.
Who We’re Looking For:
We are always on the lookout for passionate and talented individuals from various backgrounds. Whether you are a seasoned professional or a recent graduate, if you have a strong interest in our mission, we want to hear from you.
At Eon, we are at the forefront of large-scale neuroscientific connectomic data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, starting with a digital twins of a fruit fly and a mouse.
At Eon, we intend to create a embodied digital twins of animals. This role would create embodied Drosophila that perform tasks using existing physics simulations (MuJoCo). They would integrate these body simulations with connectome-based brain simulations to create the realistic, embodied brain models. Extensive, hands-on experience with computational neuroscience is required.
Use existing embodied fly models (e.g., Flybody, NeuroMechFly/Flygym) to simulate Drosophila melanogaster behaviors.
Create compelling demonstrations of virtual flies performing tasks in a virtual environment.
Customize and iterate models to achieve biologically plausible behaviors.
Document all code and workflows to ensure reproducibility.
Creation of virtual environments and bodies in Drosophila, and eventually mice.
Proficiency in Python, and familiarity with scientific computing libraries (e.g., NumPy, Matplotlib).
Experience with brain or biomechanics simulation tools (e.g., MuJoCo, the Gymnasium API, Flybody, Flygym, Brian2).
Knowledge of neuroscience, computational biology, or related fields. Background in Drosophila neuroscience would be ideal.
Strong ability to create polished and engaging visualizations.
PhD or equivalent qualifications in neuroscience or related field would be ideal, but is not required
These are examples of projects that you would be working on when joining us:
Creation of embodied, virtual flies
Visualization of brain activity
Planning experimental data collection to best complement our computational biology data sets
Competitive salary, including equity, apply.
","descriptionPlain":"ABOUT US:\n\nAt Eon, we are at the forefront of large-scale neuroscientific connectomic data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, starting with a digital twins of a fruit fly and a mouse.\n\n\n\n\nROLE\n\nAt Eon, we intend to create a embodied digital twins of animals. This role would create embodied Drosophila that perform tasks using existing physics simulations (MuJoCo). They would integrate these body simulations with connectome-based brain simulations to create the realistic, embodied brain models. Extensive, hands-on experience with computational neuroscience is required.\n\n\n\n\nRESPONSIBILITIES\n\n - Use existing embodied fly models (e.g., Flybody, NeuroMechFly/Flygym) to simulate Drosophila melanogaster behaviors.\n\n - Create compelling demonstrations of virtual flies performing tasks in a virtual environment.\n\n - Customize and iterate models to achieve biologically plausible behaviors.\n\n - Document all code and workflows to ensure reproducibility.\n\n - Creation of virtual environments and bodies in Drosophila, and eventually mice.\n\n\n\n\nSKILLS\n\n - Proficiency in Python, and familiarity with scientific computing libraries (e.g., NumPy, Matplotlib).\n\n - Experience with brain or biomechanics simulation tools (e.g., MuJoCo, the Gymnasium API, Flybody, Flygym, Brian2).\n\n - Knowledge of neuroscience, computational biology, or related fields. Background in Drosophila neuroscience would be ideal.\n\n - Strong ability to create polished and engaging visualizations.\n\n - PhD or equivalent qualifications in neuroscience or related field would be ideal, but is not required\n \n \n\n\nREPRESENTATIVE PROJECTS\n\nThese are examples of projects that you would be working on when joining us:\n\n - Creation of embodied, virtual flies\n\n - Visualization of brain activity\n\n - Planning experimental data collection to best complement our computational biology data sets\n \n \n\n\nSALARY\n\nCompetitive salary, including equity, apply."},{"id":"af724f42-4b6e-45dc-8ce1-77d7eeeaf618","title":"Microscopy Scientist — Tissue Processing & Expansion Microscopy","department":"Structure","team":"Structure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-19T18:19:56.040+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Eon%20Systems/af724f42-4b6e-45dc-8ce1-77d7eeeaf618","applyUrl":"https://jobs.ashbyhq.com/Eon%20Systems/af724f42-4b6e-45dc-8ce1-77d7eeeaf618/application","descriptionHtml":"Eon is building large-scale connectomic data collection systems to enable safe and scalable brain emulation technology. Our mission is to help bring human intelligence into the digital age.
We are looking for a scientist to help build robust tissue processing and expansion microscopy pipelines for high-resolution volumetric imaging of mammalian brain tissue.
We are looking for a scientist to lead and improve the processing, staining, and preparation of mammalian brain tissue for high-resolution volumetric optical imaging.
This role sits at the intersection of tissue processing, expansion microscopy, fluorescence imaging, and pipeline development. You will work closely with researchers, animal teams, and engineering teams to build robust and reproducible workflows that integrate cleanly into Eon’s broader imaging pipeline.
This is a hands-on role for someone who is excited to develop new protocols, troubleshoot messy real-world biological systems, and push tissue preparation methods toward greater quality, consistency, and scale.
Your work may include:
optimizing staining of large mammalian neural tissue for strong, reproducible signal quality
developing and improving expansion microscopy pipelines for large tissue samples
refining tissue processing methods to improve quality, consistency, and throughput
executing signal amplification strategies to improve signal-to-noise ratio
validating antibodies and other staining reagents for use in neural tissue
characterizing processed tissue using fluorescence microscopy and integrating samples into volumetric imaging workflows
collaborating across teams to improve upstream and downstream pipeline performance
developing new protocols for thick tissue staining, section handling, and whole-brain processing
We are looking for someone with strong scientific judgment, high agency, and deep comfort working in a fast-moving experimental environment.
You should be excited by the idea of building new workflows rather than just running established ones. The right person for this role is detail-oriented, highly hands-on, and motivated by the challenge of making complex biological systems more reliable and scalable.
Bachelor’s, Master’s, or PhD in neuroscience, biology, bioengineering, biomedical engineering, molecular biology, chemistry, or a related field
strong hands-on experience with neural tissue processing, staining, immunofluorescence, and microscopy-based workflows
experience with tissue-processing methods for high-volume, high-resolution imaging, such as expansion microscopy, CLARITY, or related approaches
familiarity with neuroanatomy and preservation of tissue architecture
understanding of fluorescence, fluorophore labeling chemistry, and signal amplification methods
ability to perform basic bioconjugation chemistry
familiarity with standard and advanced fluorescence microscopy techniques, including confocal and light-sheet microscopy
strong experimental judgment and comfort iterating on protocols in a fast-moving research environment
Advanced degrees are preferred for candidates who will lead protocol development, but equivalent practical experience is equally valued.
experience working with neural tissue samples or large-volume staining workflows
experience developing new tissue-processing or sample-preparation protocols
familiarity with whole-brain or large-scale imaging pipelines
experience working closely with microscopy, animal, or engineering teams in a cross-functional setting
Examples of projects you may work on include:
developing protocols for staining neural tissue samples greater than 1 mm with antibodies and small-molecule stains
improving the preparation or synthesis of staining reagents with stronger fluorescent signal
processing mammalian brain tissue at scale for microscopic analysis
regularly performing expansion microscopy on tissue samples and improving the robustness of the workflow
building a tissue-preparation pipeline that feeds directly into large-scale connectomic imaging
Competitive salary. Based on experience, initiative, leadership skills, and independent work and equity.
","descriptionPlain":"ABOUT EON\n\nEon is building large-scale connectomic data collection systems to enable safe and scalable brain emulation technology. Our mission is to help bring human intelligence into the digital age.\n\nWe are looking for a scientist to help build robust tissue processing and expansion microscopy pipelines for high-resolution volumetric imaging of mammalian brain tissue.\n\n\n\n\nTHE ROLE\n\nWe are looking for a scientist to lead and improve the processing, staining, and preparation of mammalian brain tissue for high-resolution volumetric optical imaging.\n\nThis role sits at the intersection of tissue processing, expansion microscopy, fluorescence imaging, and pipeline development. You will work closely with researchers, animal teams, and engineering teams to build robust and reproducible workflows that integrate cleanly into Eon’s broader imaging pipeline.\n\nThis is a hands-on role for someone who is excited to develop new protocols, troubleshoot messy real-world biological systems, and push tissue preparation methods toward greater quality, consistency, and scale.\n\n\n\n\nWHAT YOU’LL WORK ON\n\nYour work may include:\n\n - optimizing staining of large mammalian neural tissue for strong, reproducible signal quality\n \n\n - developing and improving expansion microscopy pipelines for large tissue samples\n \n\n - refining tissue processing methods to improve quality, consistency, and throughput\n \n\n - executing signal amplification strategies to improve signal-to-noise ratio\n \n\n - validating antibodies and other staining reagents for use in neural tissue\n \n\n - characterizing processed tissue using fluorescence microscopy and integrating samples into volumetric imaging workflows\n \n\n - collaborating across teams to improve upstream and downstream pipeline performance\n \n\n - developing new protocols for thick tissue staining, section handling, and whole-brain processing\n \n\n\nABOUT YOU\n\nWe are looking for someone with strong scientific judgment, high agency, and deep comfort working in a fast-moving experimental environment.\n\nYou should be excited by the idea of building new workflows rather than just running established ones. The right person for this role is detail-oriented, highly hands-on, and motivated by the challenge of making complex biological systems more reliable and scalable.\n\n\n\n\nQUALIFICATIONS\n\n - Bachelor’s, Master’s, or PhD in neuroscience, biology, bioengineering, biomedical engineering, molecular biology, chemistry, or a related field\n \n\n - strong hands-on experience with neural tissue processing, staining, immunofluorescence, and microscopy-based workflows\n \n\n - experience with tissue-processing methods for high-volume, high-resolution imaging, such as expansion microscopy, CLARITY, or related approaches\n \n\n - familiarity with neuroanatomy and preservation of tissue architecture\n \n\n - understanding of fluorescence, fluorophore labeling chemistry, and signal amplification methods\n \n\n - ability to perform basic bioconjugation chemistry\n \n\n - familiarity with standard and advanced fluorescence microscopy techniques, including confocal and light-sheet microscopy\n \n\n - strong experimental judgment and comfort iterating on protocols in a fast-moving research environment\n \n\nAdvanced degrees are preferred for candidates who will lead protocol development, but equivalent practical experience is equally valued.\n\n\n\n\nNICE TO HAVE\n\n - experience working with neural tissue samples or large-volume staining workflows\n \n\n - experience developing new tissue-processing or sample-preparation protocols\n \n\n - familiarity with whole-brain or large-scale imaging pipelines\n \n\n - experience working closely with microscopy, animal, or engineering teams in a cross-functional setting\n \n\n\nEXAMPLE PROJECTS\n\nExamples of projects you may work on include:\n\n - developing protocols for staining neural tissue samples greater than 1 mm with antibodies and small-molecule stains\n \n\n - improving the preparation or synthesis of staining reagents with stronger fluorescent signal\n \n\n - processing mammalian brain tissue at scale for microscopic analysis\n \n\n - regularly performing expansion microscopy on tissue samples and improving the robustness of the workflow\n \n\n - building a tissue-preparation pipeline that feeds directly into large-scale connectomic imaging\n \n\n\nCOMPENSATION\n\nCompetitive salary. Based on experience, initiative, leadership skills, and independent work and equity.\n\n"},{"id":"f0b0036f-b0ee-4a04-8bd1-2e9950478a14","title":"Data/Full Stack Engineer, Data Storage & Ingestion Consultant","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-10-20T22:15:37.030+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Eon%20Systems/f0b0036f-b0ee-4a04-8bd1-2e9950478a14","applyUrl":"https://jobs.ashbyhq.com/Eon%20Systems/f0b0036f-b0ee-4a04-8bd1-2e9950478a14/application","descriptionHtml":"At Eon, we are at the forefront of large-scale neuroscientific data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, beginning with the creation of a fully emulated digital twin of a mouse.
We’re a San Francisco team collecting very large microscopy datasets and we need an expert to design and implement our end-to-end data pipeline, from high-rate ingest to multi-petabyte storage and downstream processing. You’ll own the strategy (on-prem vs. S3 or hybrid), the bill of materials, and the deployment, and you’ll be on the floor wiring, racking, tuning, and validating performance.
Our current instruments generate data at ~1+ GB/s sustained (higher during bursts) and the program will accumulate multiple petabyes total over time. You’ll help us choose and implement the right architecture considering reliability and cost controls.
Within 2 weeks: Implement an immediate data-handling strategy that reliably ingests our initial data streams.
Within 2 weeks: Deliver a documented medium-term data architecture covering storage, networking, ingest, and durability.
Within 1 month: Operationalize the medium-term pipeline in production (ingest → buffer → long-term store → compute access).
Ongoing: Maintain ≥95% uptime for the end-to-end data-handling pipeline after setup.
Architect ingest & storage: Choose and implement an on-prem hardware and data pipeline design or a cloud/S3 alternative with explicit cost and performance tradeoffs at multi-petabyte scale.
Set up a sustained-write ingest path ≥1 GB/s with adequate burst headroom (camera/frame-to-disk), including networking considerations, cooling, and throttling safeguards.
Optimize footprint & cost: Incorporate on-the-fly compression/downsampling options and quantify CPU budget vs. write-speed tradeoffs; document when/where to compress to control $/PB.
Integrate with acquisition workflows ensuring image data and metadata are compatible with downstream stitching/flat-field correction pipelines.
Enable downstream compute: Expose the data to segmentation/analysis stacks (local GPU nodes or cloud).
5+ years designing and deploying high-throughput storage or HPC pipelines (≥1 GB/s sustained ingest) in production.
Deep hands-on with: NVMe RAID/striping, ZFS/MDRAID/erasure coding, PCIe topology, NUMA pinning, Linux performance tuning, and NIC offload features.
Proven delivery of multi-GB/s ingest systems and petabyte-scale storage in production (life-sciences, vision, HPC, or media).
Experience building tiered storage systems (NVMe → HDD/object) and validating real-world throughput under sustained load.
Practical S3/object-storage know-how (AWS S3 and/or on-prem S3-compatible systems) with lifecycle, versioning, and cost controls.
Data integrity & reliability: snapshots, scrubs, replication, erasure coding, and backup/DR for PB-scale systems.
Networking: ****25/40/100 GbE (SFP+/SFP28), RDMA/ RoCE/iWARP familiarity; switch config and path tuning.
Ability to spec and rack hardware: selecting chassis/backplanes, RAID/HBA cards, NICs, and cooling strategies to prevent NVMe throttling under sustained writes.
Experience with microscopy or scientific imaging ingest at frame-to-disk speeds, including Micro-Manager-based pipelines and raw-to-containerized format conversions.
Experience with life science imaging data a plus.
Contract (1099 or corp-to-corp); contract-to-hire if there’s a mutual fit.
On-site requirement: You must be physically present in San Francisco during build-out and initial operations; local field work (e.g., UCSF) as needed.
Compensation: Contract, $100-300/hour
Timeline: Immediate start
Eon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.
We are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.
We are seeking a machine learning, software, or data engineer with strong experience in large-scale neuroscience data pipelines. The ideal candidate has worked with connectomics, volumetric imaging, segmentation workflows, manual or semi-automated proofreading pipelines, and large-scale n-dimensional image data.
This role will help build and optimize Eon’s connectomics reconstruction pipeline: from raw microscopy data to segmented neurons, synapses, connectivity maps, visualizations, and brain simulations. You will work on segmentation, affinity prediction, watershed/post-processing, data management, scalable visualization, and machine-learning experiments. You may also contribute to embodied simulations of animal models using connectome-derived neural architectures.
This is a hands-on role for someone who is comfortable moving between ML experimentation, production data infrastructure, scientific computing, and computational neuroscience.
Build, optimize, and maintain large-scale connectomics data pipelines for volumetric microscopy data.
Develop and improve machine learning workflows for image segmentation, affinity prediction, watershed/post-processing, synapse detection, and neural reconstruction.
Work with large-scale n-dimensional image data, including TB- to PB-scale datasets.
Run controlled ML experiments to improve segmentation accuracy, throughput, and reliability.
Create polished, compelling visualizations of connectomic data, neural activity, and reconstructed circuits.
Strong ability to create polished and engaging visualizations.
Neuroglancer, BigDataViewer, Fiji/ImageJ, CloudVolume, TensorStore, Zarr, N5, DVID, CAVE, or related tools.
Affinity prediction, watershed segmentation, flood filling networks, U-Nets, transformers for vision, or other computer vision models for biological image data.
Distributed data processing, cloud infrastructure, GPU inference, and high-throughput ML pipelines.
GPU kernel development experience is a definite plus.
Large-scale n-dimensional array processing in Python, C++, Java, or similar environments.
Strong software engineering skills, including clean code, version control, testing, documentation, and reproducible workflows.
Experience with large data systems, ideally at TB scale or above.
Experience with computer vision, biological image segmentation, or volumetric data analysis.
Strong communication skills and ability to collaborate with neuroscientists, microscopists, ML engineers, and data infrastructure engineers.
Building Eon’s large-scale connectomics segmentation and proofreading pipeline.
Creating efficient workflows for affinity prediction, watershed segmentation, synapse detection, and neuron reconstruction.
Developing Neuroglancer-style visualization infrastructure for large expanded-brain datasets.
$180k–260k base for SF-based ML Connectomics roles; $150k–200k base for remote. Competitive equity included.
","descriptionPlain":"ABOUT US\n\nEon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.\n\nWe are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.\n\n\nROLE\n\nWe are seeking a machine learning, software, or data engineer with strong experience in large-scale neuroscience data pipelines. The ideal candidate has worked with connectomics, volumetric imaging, segmentation workflows, manual or semi-automated proofreading pipelines, and large-scale n-dimensional image data.\n\nThis role will help build and optimize Eon’s connectomics reconstruction pipeline: from raw microscopy data to segmented neurons, synapses, connectivity maps, visualizations, and brain simulations. You will work on segmentation, affinity prediction, watershed/post-processing, data management, scalable visualization, and machine-learning experiments. You may also contribute to embodied simulations of animal models using connectome-derived neural architectures.\n\nThis is a hands-on role for someone who is comfortable moving between ML experimentation, production data infrastructure, scientific computing, and computational neuroscience.\n\n\nRESPONSIBILITIES\n\n - Build, optimize, and maintain large-scale connectomics data pipelines for volumetric microscopy data.\n\n - Develop and improve machine learning workflows for image segmentation, affinity prediction, watershed/post-processing, synapse detection, and neural reconstruction.\n\n - Work with large-scale n-dimensional image data, including TB- to PB-scale datasets.\n\n - Run controlled ML experiments to improve segmentation accuracy, throughput, and reliability.\n\n - Create polished, compelling visualizations of connectomic data, neural activity, and reconstructed circuits.\n\n\nSKILLS\n\n - Strong ability to create polished and engaging visualizations.\n\n - Neuroglancer, BigDataViewer, Fiji/ImageJ, CloudVolume, TensorStore, Zarr, N5, DVID, CAVE, or related tools.\n\n - Affinity prediction, watershed segmentation, flood filling networks, U-Nets, transformers for vision, or other computer vision models for biological image data.\n\n - Distributed data processing, cloud infrastructure, GPU inference, and high-throughput ML pipelines.\n\n - GPU kernel development experience is a definite plus.\n\n - Large-scale n-dimensional array processing in Python, C++, Java, or similar environments.\n\n - Strong software engineering skills, including clean code, version control, testing, documentation, and reproducible workflows.\n\n - Experience with large data systems, ideally at TB scale or above.\n\n - Experience with computer vision, biological image segmentation, or volumetric data analysis.\n\n - Strong communication skills and ability to collaborate with neuroscientists, microscopists, ML engineers, and data infrastructure engineers.\n\n\nREPRESENTATIVE PROJECTS\n\n - Building Eon’s large-scale connectomics segmentation and proofreading pipeline.\n\n - Creating efficient workflows for affinity prediction, watershed segmentation, synapse detection, and neuron reconstruction.\n\n - Developing Neuroglancer-style visualization infrastructure for large expanded-brain datasets.\n\n\nSALARY\n\n$180k–260k base for SF-based ML Connectomics roles; $150k–200k base for remote. Competitive equity included."},{"id":"94c137b5-e0e5-4c3d-9cdf-8fd4c9f644f7","title":"Microscopy Technician","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-23T19:08:16.181+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Eon%20Systems/94c137b5-e0e5-4c3d-9cdf-8fd4c9f644f7","applyUrl":"https://jobs.ashbyhq.com/Eon%20Systems/94c137b5-e0e5-4c3d-9cdf-8fd4c9f644f7/application","descriptionHtml":"Eon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.
We are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.
We are seeking a Microscopy Technician to help operate and maintain the high-throughput imaging pipeline at the heart of our connectomics platform, working closely with our microscopy lead. You will run our microscopes to capture high-resolution 3D image volumes of expanded brain tissue, help set up and troubleshoot instruments and experiments, and keep the day-to-day acquisition pipeline organized and running smoothly.
This is a hands-on operator role for someone who has run microscopes in a core facility or high-throughput imaging environment. We are looking for someone who can reliably operate, maintain, and troubleshoot experimental and prototype instruments, and help with microscope assembly and replication under the direction of our Head of Microscopy. Successful candidates will have demonstrable experience independently operating and maintaining custom microscopy hardware.
Operate microscopes to acquire high-resolution 3D image volumes of expanded neural tissue, sustaining high throughput and high instrument uptime.
Help set up, align, and calibrate microscopes and new experiments/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.
Local (Bay Area, on-site) BS or MS with 2+ years of hands-on experience operating microscopes, ideally in a core facility, imaging center, or other high-throughput lab.
Demonstrated, hands-on understanding of the theory and practice of modern fluorescence microscopy and associated instrumentation.
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.
Familiarity with image acquisition and analysis software (e.g., Fiji, Imaris, or similar).
Ability to work collaboratively in a dynamic, fast-paced research environment.
Experience with expansion microscopy
Hands-on familiarity with spinning-disk confocal or light-sheet systems
Comfort working with custom or home-built optical setups (assembling optics, aligning lasers, and managing software issues)
Basic scripting for acquisition or image processing.
Running day-to-day acquisition on our microscopes to hit weekly data collection targets.
Helping set up, align, and bring a newly built microscope into routine production use.
Building out sample tracking and logging practices so the acquisition pipeline stays organized as throughput increases.
$90,000–$125,000 base salary depending on experience, plus equity and benefits.
Opportunity to work in a cutting-edge field that impacts neuroscience and AI safety.
","descriptionPlain":"ABOUT US\n\nEon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.\n\nWe are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.\n\n\n\n\nROLE\n\nWe are seeking a Microscopy Technician to help operate and maintain the high-throughput imaging pipeline at the heart of our connectomics platform, working closely with our microscopy lead. You will run our microscopes to capture high-resolution 3D image volumes of expanded brain tissue, help set up and troubleshoot instruments and experiments, and keep the day-to-day acquisition pipeline organized and running smoothly.\n\nThis is a hands-on operator role for someone who has run microscopes in a core facility or high-throughput imaging environment. We are looking for someone who can reliably operate, maintain, and troubleshoot experimental and prototype instruments, and help with microscope assembly and replication under the direction of our Head of Microscopy. Successful candidates will have demonstrable experience independently operating and maintaining custom microscopy hardware.\n\n\n\n\nRESPONSIBILITIES\n\n - Operate microscopes to acquire high-resolution 3D image volumes of expanded neural tissue, sustaining high throughput and high instrument uptime.\n\n - Help set up, align, and calibrate microscopes and new experiments/equipment as the imaging pipeline scales.\n\n - Handle mounting and storage of expanded hydrogel specimens carefully to protect sample integrity.\n\n - Troubleshoot day-to-day imaging issues and perform routine maintenance on microscopy equipment, escalating more complex instrument problems.\n\n - Implement and maintain imaging pipeline organization, including specimen, throughput, and issue tracking.\n\n\n\n\nSKILLS AND QUALIFICATIONS\n\n - Local (Bay Area, on-site) BS or MS with 2+ years of hands-on experience operating microscopes, ideally in a core facility, imaging center, or other high-throughput lab.\n\n - Demonstrated, hands-on understanding of the theory and practice of modern fluorescence microscopy and associated instrumentation.\n\n - Comfortable with day-to-day microscope alignment, calibration, and basic troubleshooting.\n\n - Strong organizational skills and the ability to keep a multi-step pipeline running smoothly with minimal oversight.\n\n - Familiarity with image acquisition and analysis software (e.g., Fiji, Imaris, or similar).\n\n - Ability to work collaboratively in a dynamic, fast-paced research environment.\n\n\nNICE TO HAVE: \n\n - Experience with expansion microscopy\n\n - Hands-on familiarity with spinning-disk confocal or light-sheet systems\n\n - Comfort working with custom or home-built optical setups (assembling optics, aligning lasers, and managing software issues)\n\n - Basic scripting for acquisition or image processing.\n\n\nREPRESENTATIVE PROJECTS:\n\n - Running day-to-day acquisition on our microscopes to hit weekly data collection targets.\n\n - Helping set up, align, and bring a newly built microscope into routine production use.\n\n - Building out sample tracking and logging practices so the acquisition pipeline stays organized as throughput increases.\n\n\n\n\nSALARY AND BENEFITS\n\n$90,000–$125,000 base salary depending on experience, plus equity and benefits.\n\nOpportunity to work in a cutting-edge field that impacts neuroscience and AI safety."},{"id":"fd74a147-2e97-45ba-8e59-3edd4b0deea9","title":"Senior Microscope Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-23T19:13:47.660+00:00","isListed":true,"isRemote":null,"workplaceType":null,"address":{"postalAddress":{"addressRegion":"California","addressCountry":"USA","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/Eon%20Systems/fd74a147-2e97-45ba-8e59-3edd4b0deea9","applyUrl":"https://jobs.ashbyhq.com/Eon%20Systems/fd74a147-2e97-45ba-8e59-3edd4b0deea9/application","descriptionHtml":"Eon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.
We are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.
We are seeking a Senior Microscope Engineer to build and scale the imaging systems at the heart of our connectomics pipeline. You will design, build, and bring up custom high-throughput optical microscopes optimized for imaging expanded brain tissue, take our current prototype through to a production-ready instrument, and lead its replication into a small fleet for large-scale acquisition.
This is a hands-on role for someone who has personally built high-throughput microscopes end to end — optics, optomechanics, illumination, detection, and control — and who is comfortable moving between instrument design, day-to-day acquisition, and the practical problem-solving that scaling a novel imaging system demands.
Design and build custom, cost-effective, high-throughput optical microscopes (e.g., spinning-disk confocal) optimized for expanded tissue.
Take a working prototype to a production-ready instrument: motorized staging, optimized acquisition, and validated performance.
Operate microscopes to acquire high-resolution 3D image volumes of expanded neural tissue, sustaining high throughput and high instrument uptime.
Produce complete build documentation — bills of materials, budgets, timelines, and assembly SOPs a technician can follow — and lead replication toward a small fleet.
Troubleshoot imaging issues and perform routine maintenance on microscopy equipment.
5+ years designing and building optical microscopy instruments such as spinning-disk confocal or lightsheet systems, with at least one high-throughput microscope built end to end.
Strong optical design and alignment skills, and hands-on optomechanical build experience (CAD and rapid prototyping a plus).
Practical command of illumination sources, objective/optics selection, and cameras/detectors.
Ability to code for instrument control, automation, and image processing and analysis.
Ability to work collaboratively in a dynamic, fast-paced research environment.
High-speed image-sensor integration, FPGA or custom data-acquisition electronics e
Experience with the storage and data pipelines required for large-scale imaging.
Bringing a prototype microscope to production and validating its performance on expanded tissue.
Scaling from a single validated instrument to a small fleet for large-scale acquisition.
Developing robust mounting and handling for large expanded samples.
$140,000–$200,000 base salary depending on experience, plus equity and benefits.
Opportunity to work in a cutting-edge field that impacts neuroscience and AI safety.
","descriptionPlain":"ABOUT US\n\nEon is building the infrastructure for large-scale connectomics data collection, reconstruction, and brain simulation. Our mission is to enable the safe and scalable development of brain emulation technology, beginning with digital twins of model organisms.\n\nWe are developing an end-to-end platform that spans tissue preparation, high-throughput microscopy, large-scale image processing, neural reconstruction, connectome-based modeling, and embodied simulation. We are looking for exceptional engineers and scientists who can help turn biological brain data into usable computational systems.\n\n\n\n\nROLE\n\nWe are seeking a Senior Microscope Engineer to build and scale the imaging systems at the heart of our connectomics pipeline. You will design, build, and bring up custom high-throughput optical microscopes optimized for imaging expanded brain tissue, take our current prototype through to a production-ready instrument, and lead its replication into a small fleet for large-scale acquisition.\n\nThis is a hands-on role for someone who has personally built high-throughput microscopes end to end — optics, optomechanics, illumination, detection, and control — and who is comfortable moving between instrument design, day-to-day acquisition, and the practical problem-solving that scaling a novel imaging system demands.\n\n\n\n\nRESPONSIBILITIES\n\n - Design and build custom, cost-effective, high-throughput optical microscopes (e.g., spinning-disk confocal) optimized for expanded tissue.\n\n - Take a working prototype to a production-ready instrument: motorized staging, optimized acquisition, and validated performance.\n\n - Operate microscopes to acquire high-resolution 3D image volumes of expanded neural tissue, sustaining high throughput and high instrument uptime.\n\n - Produce complete build documentation — bills of materials, budgets, timelines, and assembly SOPs a technician can follow — and lead replication toward a small fleet.\n\n - Troubleshoot imaging issues and perform routine maintenance on microscopy equipment.\n\n\n\n\nSKILLS AND QUALIFICATIONS\n\n - 5+ years designing and building optical microscopy instruments such as spinning-disk confocal or lightsheet systems, with at least one high-throughput microscope built end to end.\n\n - Strong optical design and alignment skills, and hands-on optomechanical build experience (CAD and rapid prototyping a plus).\n\n - Practical command of illumination sources, objective/optics selection, and cameras/detectors.\n\n - Ability to code for instrument control, automation, and image processing and analysis.\n\n - Ability to work collaboratively in a dynamic, fast-paced research environment.\n\n\nNICE TO HAVE\n\n - High-speed image-sensor integration, FPGA or custom data-acquisition electronics e\n\n - Experience with the storage and data pipelines required for large-scale imaging.\n\n\nREPRESENTATIVE PROJECTS\n\n - Bringing a prototype microscope to production and validating its performance on expanded tissue.\n\n - Scaling from a single validated instrument to a small fleet for large-scale acquisition.\n\n - Developing robust mounting and handling for large expanded samples.\n\n\n\n\nSALARY AND BENEFITS\n\n$140,000–$200,000 base salary depending on experience, plus equity and benefits.\n\nOpportunity to work in a cutting-edge field that impacts neuroscience and AI safety."}],"apiVersion":"1"}