K

Kitware

Develops open-source scientific computing software

Physics-Based Modeling Researcher - Biomedical

Full-TimeUpdated on 10/23/2026
$110k - $150k/yr+ Bonus plan
Mid
Master's, PhD
Carrboro, NC, USA
In Person
Academic & Institutional ResearchMedical Research
No H1B Sponsorship
US Citizenship, US Top Secret Clearance Required

About the job

Requirements
  • A Master's degree plus two years of experience or a PhD in Biomedical Engineering, Mechanical Engineering, Computational Biology, Applied Mathematics, Bioengineering, or a related field is required.
  • Experience developing computational or mathematical models of the human body is required.
  • Strong programming skills in C++ or Python are required, with C++ preferred.
  • Experience with scientific computing and numerical methods is required.
  • Familiarity with medical imaging and image processing is required.
  • Strong analytical and problem-solving skills are required.
  • Excellent written and verbal communication skills are required.
  • Ability to work collaboratively in multidisciplinary research teams is required.
  • Only U.S. citizens will be considered due to contractual requirements.
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance is required.
Responsibilities
  • Develop computational and mathematical models of the human body and human physiology.
  • Create patient-specific models using medical imaging data, including CT, MRI, ultrasound, and microscopy.
  • Design and implement biomechanical, physiological, or multi-physics simulations.
  • Collaborate with software engineers to integrate models into research software and production applications.
  • Validate models using experimental or clinical data.
  • Work directly with clinicians, researchers, and sponsors to understand technical requirements.
  • Publish research findings in peer-reviewed journals and present at scientific conferences.
  • Contribute to Kitware's open source software ecosystem.
Desired Qualifications
  • Familiarity with the Pulse Physiology Engine.
  • Finite Element Analysis (FEA).
  • Biomechanics.
  • Computational fluid dynamics (CFD).
  • Cardiovascular modeling.
  • Digital twins.
  • Multiscale modeling.
  • Medical image segmentation and registration.
  • AI or machine learning applied to biomedical data.
  • Grant proposal development and sponsored research.

About the company

Kitware builds and maintains open-source tools for scientific computing and data analysis, and offers custom software development, consulting, and support. Its core platforms include VTK for 3D graphics, ParaView for data visualization on top of VTK, CMake for cross‑platform builds, ITK for medical image analysis, and Girder for web-based data management. These tools help users visualize, analyze, and manage complex data in fields like research, medical imaging, computer vision, and high-performance computing. The company differentiates itself by blending open-source software with professional services and optional proprietary solutions, and it remains employee-owned to emphasize ownership and control without vendor lock-in for startups, enterprises, government, and academia.

Company Size

51-200

Company Stage

Grant

Total Funding

$114.2M

Headquarters

Town of Clifton Park, New York

Founded

1998

Get referred to Kitware

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • October 1, 2026 CMMC Level 2 certification strengthens Kitware's defense sales motion.
  • Riverside Research partnered with Kitware on CMake SBOM capabilities, expanding security relevance.
  • BlueTIDE 2026 and UNC's ARPA-H AIR project showcase active 2026 research momentum.

What critics are saying

  • Kitware depends on U.S. government contracts and DARPA, ARPA-H, and DoW procurement cycles.
  • Open-source rivals and internal platform teams can substitute CMake support without paying Kitware.
  • A CMake ecosystem fork or major maintainer loss would erode Kitware's core moat quickly.

What makes Kitware unique

  • Kitware controls CMake, VTK, and ITK, foundational tools still widely adopted in 2026.
  • Employee-owned since 2020, Kitware aligns retention, IP stewardship, and long-term open-source maintenance.
  • Kitware combines open-source credibility with custom defense, medical, and scientific R&D delivery.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • 100% Employee Owned
  • Flexible Schedules
  • Generous PTO
  • comprehensive medical, dental and vision insurances
  • Flexible Spending Accounts
  • Disability and ADHD Insurance
  • 401k
  • Immigration and Visa Processing
  • Referral Bonus
  • Tuition Reimbursement
  • Computer Hardware Allowance

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-4%
Kitware
Oct 13th, 2026
Tomviz 3.1: Animation, advanced rendering, label maps, and live updates.

Tomviz 3.1: Animation, advanced rendering, label maps, and live updates. October 13, 2026 Kitware is pleased to announce the release of Tomviz 3.1. Tomviz is a free, open source, cross-platform application for the reconstruction, visualization, and analysis of 3D tomographic data, developed openly on GitHub and distributed under the 3-clause BSD license. Tomviz 3.0 rebuilt the application around a node-based pipeline. Tomviz 3.1 brings a significantly improved Animation Helper, advanced volume rendering, and a new Label Map visualization for exploring and cleaning up segmentations. Pipelines can now also update live while data is being acquired, and new transforms filter data in Fourier space. Featured Image: A PtCu nanoparticle split into slabs with the new exploded view. The data itself is unchanged. Animate your data. The Animation Helper has been significantly improved and now has its own Animation menu. Save a few viewpoints, and the camera flies between them, with optional orbits, easing, and on-screen captions. Each viewpoint can also record the state of your visualizations, such as opacity, slice and clip positions, threshold values, hidden labels, and cut-out or exploded views, and any changes animate along the way. Movies export directly to MP4. Advanced volume rendering. Volume rendering gains new ways to light your data and see inside it: * Lighting presets, from unlit to full volumetric shadows, plus custom presets you can save and reuse. * Cut-out views hide one corner of the volume to show its interior. * Exploded views split the volume into slabs and pull them apart. * Several volumes in one view blend correctly, each with its own color map and opacity. * Opacity presets and auto contrast over a region you select. Left: a cut-out view of a PtCu nanoparticle. Right: tungsten (blue) and copper (magenta) XRF maps of an integrated circuit, rendered as two volumes in one view. Live updates during an experiment. Pipelines can now keep up with data as it is acquired. With periodic execution turned on, Tomviz checks a Python source for new data at a set interval and re-runs it, along with everything downstream, so you can watch a reconstruction sharpen as projections arrive. Real-time reconstruction was first demonstrated in Tomviz for electron tomography (Schwartz et al., Nature Communications 13, 4458, 2022), and Tomviz 3.1 now provides it as flexible, extensible infrastructure that any Python source can build on. To try it without an instrument, choose Sample Data > Simulated Live Acquisition, which is designed as a starting point for building a live source for your own instrument. The PyXRF and ptychography sources, built specifically for X-ray fluorescence and ptychography workflows at NSLS-II, are two more examples: they add new scans as they complete. Segmentation and label maps. The new Label Map visualization shows each label of a segmentation in its own color, as smoothed surfaces or as a volume, and stays responsive with tens of thousands of labels. You can show or hide labels one by one, and the Animation Helper can reveal them as the camera moves. Segmenting is easier too. Binary Threshold followed by Connected Components is one route to a segmentation, and the sliders of Binary Threshold are now linked to the Threshold visualization, so you can watch the 3D view update interactively as you choose values. To clean up the result, the new Remove Labels transform starts with exactly the labels you hid in the Label Map. Thresholding, connected components, and binary morphology now run on NumPy and SciPy. Working across modalities. Slices and clips can now be linked across datasets and matched by physical position, so XRF and ptychography reconstructions of the same sample stay in register despite their different resolutions. Any render view can also switch to a 2D image viewer. New transforms combine datasets: Image Math works voxel by voxel, even across resolutions, and Combine Datasets merges arrays into one dataset. Manual Manipulation and Elastix-based Registration are also back for aligning one volume to another. Fourier-Space filtering. Three new transforms filter data in Fourier space and return real-space results: Fourier Filter (low, high, and band pass), Fourier Peak Mask, which automatically finds peaks and keeps only their neighborhoods, and Fourier Mask, which keeps whatever a mask volume covers. The mask can be made from the spectrum itself: on an FFT branch, use the Binary Threshold, Connected Components, and Remove Labels workflow described above to select the peaks you want, so the whole process lives in one pipeline. A standalone pipeline package. The pipeline engine is now a standalone Python package, tomviz-pipeline, that installs from PyPI or conda-forge. It runs saved pipelines in batch from the command line or Python, and any Python environment with it installed can run Tomviz transforms outside the application. Tomviz now checks such an environment as soon as you select it and shows the install command if anything is missing. pip install tomviz-pipeline tomviz-pipeline -s pipeline.tvsm -o results/ -input 'data/*.emd Also new in 3.1. * Custom transforms can be created, edited, and managed from the Custom Transforms menu. * Linux packages: an RPM for RHEL 8 and 9, and a Flatpak. * Python 3.14 is supported and included in the installers. What's next. Work continues on the trame-based web version of Tomviz, built on the same pipeline design and tomviz-pipeline package, for remote and in-browser analysis. Try Tomviz 3.1. Tomviz 3.1 is available for Linux, macOS, and Windows from tomviz.org/downloads. Documentation, with new tutorial videos and a gallery, is at tomviz.readthedocs.io, and the source code is at github.com/OpenChemistry/tomviz. If you use Tomviz in your research, please cite J. Schwartz et al., "Real-time 3D analysis during electron tomography using tomviz," Nature Communications 13, 4458 (2022). For help applying Tomviz to your data, or to collaborate on new capabilities, contact Kitware. Acknowledgments. The Tomviz project was founded as a collaboration between Kitware, Cornell University, and the University of Michigan under DOE Office of Science contract DE-SC0011385. The tomviz-pipeline package, which implements the multi-input/multi-output pipeline design, was developed under DOE SBIR Phase II award DE-SC0024765, "Multivariate Volume Visualization and Machine-Guided Exploration in Tomviz," and will also power the upcoming web version of Tomviz. The desktop features in this release were funded by Brookhaven Science Associates under the Statement of Work "Extending Tomviz for Synchrotron Tomography" in support of NSLS-II at Brookhaven National Laboratory. Kitware thank Aaron Michelson for permission to show the gold nanoparticle superlattice data.

PR Newswire
Oct 1st, 2026
Riverside Research and Kitware enhance CMake to secure software updates across complex ecosystems

Riverside Research and Kitware have enhanced CMake, a widely used software build tool, to improve how organisations deploy software updates and manage security vulnerabilities. The collaboration, funded by DARPA's Enhanced Software Bill of Materials programme, integrates software inventory capabilities directly into CMake's build system. Modern software often incorporates thousands of third-party components, creating complex dependency networks that complicate vulnerability remediation. The enhancement embeds critical metadata within software inventories, enabling system maintainers to identify and update software whilst maintaining operational continuity. This approach differs from existing methods that rely on external scanning tools or self-reporting, which can introduce ambiguities. The integration provides authoritative dependency modelling and reproducible results, helping organisations across government and industry track cyber risk more accurately. Future work will focus on richer metadata modelling and improved handling of transitive dependencies.

FOX 5 San Diego
Oct 1st, 2026
Riverside Research and Kitware, Inc. strengthen Secure deployment of software updates across complex software ecosystems.

Riverside Research and Kitware, Inc. strengthen Secure deployment of software updates across complex software ecosystems. Oct 01, 2026, 10:40 AM ET WASHINGTON, Oct. 1, 2026 /PRNewswire/ - Riverside Research, a defense technology nonprofit focusing on intelligence, announced a collaboration with Kitware, Inc., a custom software and AI developer, to develop capabilities that enable organizations to securely and reliably deploy software patches and updates for fielded software inventories. Modern software products often incorporate hundreds or thousands of third-party software components, creating complex dependency networks that can make vulnerability remediation exceptionally challenging. In many cases, updating a critical software component is comparable to replacing a faulty engine part while a vehicle is traveling at highway speeds, requiring precision, reliability, and minimal disruption to ongoing operations. One of the world's most widely used software build tools, CMake, manages software inventories by defining software components and their dependencies. Through this collaboration, Riverside Research and Kitware enhanced CMake with native software inventory capabilities that embed critical metadata directly within those inventories. Riverside Research has developed tools that enable fielded system maintainers to leverage this embedded metadata, improving their ability to identify, update, and repair software systems while maintaining operational continuity. This contrasts with existing approaches to software inventory management, which rely on external scanning tools, self-reporting practices, or a combination of the two. Depending on external tools or providers introduces potential ambiguities and limits coverage. "Software developers have long relied on CMake as the authoritative source for defining how applications are built and how their dependencies fit together," said Bill Hoffman, co-founder of Kitware and lead architect of CMake. "By integrating software inventory generation directly into the build system, we're making that same trusted information available for security, maintenance, and risk management activities. Our collaboration with Riverside Research helps ensure organizations can understand and maintain increasingly complex software ecosystems with greater accuracy, confidence, and efficiency." How Riverside Research and Kitware Create More Accurate Cyber Risk Tracking in CMake Riverside Research and Kitware's integration of software inventory generation directly into CMake allows organizations across government and industry to more accurately track their cyber risk, reducing the likelihood and impact of crippling attacks on the nation's software supply chain, a known national security risk that the federal government continually mitigates. Embedding software inventories directly into the build itself provides: * Authoritative dependency modeling * Deterministic output tied to configuration * Continuous Integration -friendly automation * Reproducible results "CMake's adoption of software inventories marks a significant step toward improving software security and visibility for millions of C++ developers," said Dr. Gordon Stewart, Associate Director of Secure and Resilient Systems at Riverside Research. "We are excited by this partnership with Kitware and look forward to the further impact of E-BOSS technologies." CMake Enhancements Result of Defense Advanced Research Projects Agency (DARPA) Funding The companies developed this CMake enhancement with funding from DARPA under the Enhanced Software Bill of Materials (SBOM) for the Optimized Software Sustainment (E-BOSS) program. DARPA's development initiatives answer recent federal guidance, which emphasizes flexible, risk-based approaches to software and hardware assurance, enabling agencies to tailor security practices to mission needs. Within such frameworks, CMake's software inventories support risk-informed decision-making, enabling agencies to manage their cyber risk without undue compliance overhead. CMake's native software inventories give organizations access to advanced software supply-chain capabilities without additional tooling or setup, providing flexibility to apply cyber risk reduction strategies according to agency operational and security needs. Projected Impact of CMake Improvements The E-BOSS program advances technologies that improve how software systems are understood, maintained, and secured over time. Future work will aim to enable seamless integration of E-BOSS performer technologies into the software inventories now provided natively by CMake, working to streamline the adoption of E-BOSS rapid vulnerability triage and remediation across government and industry. Other ongoing work includes richer metadata modeling, improved handling of transitive dependencies, enhanced license reporting, and tighter integration with packaging and CI workflows. About Riverside Research Riverside Research is a national security nonprofit serving the DOW and Intelligence Community. Through the company's Open Innovation Center (OIC), they invest in multidisciplinary research and development and encourages collaboration. Riverside Research's areas of expertise include Object and Activity Detection; Accelerated AI/ML; Zero Trust; Open Architectures; Computational Electromagnetics; Plasma Physics; Precision Timing; Terahertz Imaging; Commercial Intelligence, Surveillance, and Reconnaissance (ISR); Collection Planning; and more. Learn more at www.riversideresearch.org. About Kitware, Inc. Kitware advances science and technology to make a meaningful difference in the world. They deliver high-impact software solutions built on open-source foundations, combining deep technical expertise with a collaborative, people-first approach. Trusted by commercial, government, and academic organizations, Kitware partners closely with customers to understand their goals and integrate robust, sustainable technology into real-world scenarios. They build solutions that endure by prioritizing transparency, long-term value, and positive impact. Founded in 1998, Kitware is 100% employee-owned. Visit them at kitware.com or on Twitter, LinkedIn, and YouTube. SOURCE RIVERSIDE RESEARCH NOTE: This content is not written by or endorsed by "KSWB", its advertisers, or Nexstar Media Inc.

Kitware
Oct 1st, 2026
Kitware achieves CMMC Level 2 assessment, reinforcing commitment to secure software development.

Kitware achieves CMMC Level 2 assessment, reinforcing commitment to secure software development. October 1, 2026 This certification demonstrates Kitware's commitment to protecting Controlled Unclassified Information (CUI) and supporting the cybersecurity requirements of the Defense Industrial Base. Clifton Park, NY - October 1, 2026 - Kitware, a leader in software R&D and advanced AI, has achieved CMMC Level 2 (C3PAO) certification, reinforcing the company's commitment to protecting Controlled Unclassified Information (CUI) and supporting the cybersecurity requirements of the U.S. Department of War (DoW). The CMMC Program validates compliance with rigorous cybersecurity requirements for organizations that develop technologies or handle sensitive information on behalf of the Department of War. As cyber threats targeting defense agencies continue to grow in both frequency and sophistication, CMMC provides assurance that contractors have implemented and maintain the security controls necessary to safeguard Controlled Unclassified Information. Kitware officially received its CMMC Level 2 certification on June 24, 2026, following a comprehensive independent assessment by a C3PAO. At the time, only about 2% of eligible organizations had successfully achieved CMMC Level 2 (C3PAO) certification, making Kitware part of a select group of organizations recognized for meeting the DoW's rigorous cybersecurity requirements. "Achieving CMMC Level 2 certification reflects years of investment in secure processes and protecting sensitive information for our government customers," said Lisa Avila, CEO and co-founder of Kitware. "For a software R&D company of our size, this accomplishment demonstrates that we can deliver innovative software solutions while meeting some of the highest cybersecurity standards required by the DoW." Although the CMMC Phase 2 (C3PAO) certification requirement has been temporarily paused, securely managing CUI remains a critical factor for organizations supporting DoW programs. By proactively achieving certification, Kitware demonstrates both the maturity of its cybersecurity program and its readiness to support customers with demanding security and compliance requirements. About kitware. Kitware advances science and technology to make a meaningful difference in the world. CMake Feabhas Limited deliver high-impact software solutions built on open source foundations, combining deep technical expertise with a collaborative, people-first approach. Trusted by commercial, government, and academic organizations, Kitware partners closely with customers to understand their goals and integrate robust, sustainable technology into real-world scenarios. CMake Feabhas Limited build solutions that endure by prioritizing transparency, long-term value, and positive impact. Founded in 1998, Kitware is 100% employee-owned. Visit CMake Feabhas Limited at kitware.com or on Twitter, LinkedIn, and YouTube.

Metric Media LLC
Sep 3rd, 2026
Kitware and UNC collaborate on robotic stroke care project with ARPA-H funding.

Kitware and UNC collaborate on robotic stroke care project with ARPA-H funding. UNC School of Medicine announced on Sep. 3 a collaboration with Kitware and several universities to advance robotic stroke care, supported by up to $17.5 million in funding from the Advanced Research Projects Agency for Health (ARPA-H). The initiative, called the Testbed for Autonomous Interventions and Robotics (AIR), aims to develop an open-source virtual testing platform for robotic interventions in endovascular stroke treatment. The project brings together researchers from Kitware, UNC School of Medicine, Johns Hopkins University, University of North Carolina, University of Pittsburgh, Florida State University, and Lightside Surgical, Inc. The funding will be used to create a simulation environment designed to test and evaluate robotic algorithms that assist with minimally invasive procedures inside the brain's blood vessels. Yueh Lee, MD, PhD, professor of radiology at UNC School of Medicine and clinical lead for the project, said this simulation software is expected to accelerate development of robotic tools that could improve access and expedite care for patients experiencing strokes or other brain blood vessel disorders. "That's one of the reasons we are excited to help develop open-source software tools to reduce barriers to entry," said Lee. "More importantly, this will help accelerate the development of these tools, which could substantially expand access to stroke thrombectomy for patients. Imagine a robot that could perform the procedure at any hospital without requiring the patient to be transferred to a major medical center." James Ho, MD, assistant professor of neurology and director of UNC Medical Center's Comprehensive Stroke Center as well as co-investigator on the project, said: "A stroke occurs when there is a blockage of the blood vessels in the brain, usually from a blood clot. The longer that blood clot stays in place, the more brain tissue loses oxygen and nutrients it needs to survive. It's estimated that every minute during a stroke nearly 2 million brain cells die... This has made a huge impact on patients." Ho added that timely access remains challenging because only highly trained specialists can perform these interventions: "This project has the potential to enhance a Neurointerventionalist's ability to take care of patients regardless of where they had their stroke." The team will work with faculty at other institutions such as University of Pittsburgh who will contribute data supporting digital intervention testing. Lee said this effort builds upon strong clinical care provided by UNC Hospitals Comprehensive Stroke Center as well as its commitment toward high-quality imaging and neurovascular research. A statement accompanying the announcement noted: "This research is funded in part by ARPA-H... The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies...of the U.S. Government."