--- title: 'Geotypical Production Modeler at Aechelon Technology' canonical: 'https://feeny.ai/job/geotypical-production-modeler-aechelon-technology-south-san-francisco-rvdgjzee5csg' type: 'job' last_seen: '2026-09-07' --- # Geotypical Production Modeler at Aechelon Technology - **Company:** Aechelon Technology - **Location:** South San Francisco, CA - **Posted:** 2026-04-24 - **Last confirmed live:** 2026-09-07 - **Apply:** https://job-boards.greenhouse.io/aechelontechnology/jobs/5200802008 ## Job description Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation’s pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. The Geotypical Production Modeler’s primary role is to produce “Area-of-Interest” and wide area feature population of the Company’s visual database using geographic information system software and advanced feature population processes/tools using machine learning and automation. ## ESSENTIAL DUTIES AND RESPONSIBILITIES: - Ability to work independently with minimal supervision to execute both program and internal tasks within milestones and deadlines. - Use of Machine Learning and ML Model Training: - Data Collection and Annotation: Collecting and annotating training data, ensuring it's clean, labeled correctly, and sufficient for model training. This would most likely be in the form of vector and/or raster data related to features. - Data Preprocessing: Cleaning, normalizing, and preparing the data for model training, including handling missing values and outliers. This would be from the collection and analysis and would be passed back to the DAML team to update model for the featureGen tool. - Quality Assurance: Conducting quality assurance checks on data and models to identify issues and ensure the reliability and accuracy of outputs. - Feedback Loop Management: Establishing and maintaining feedback loops to incorporate insights from model performance and user feedback into iterative improvements of the machine learning pipeline - mainly from the use or interaction with the featureGen tool. - Collaboration: Collaborating with cross-functional teams, such as data the DAML team and Integration team(s). - Understanding of all Program Input (Spec Pointers, SME Input, Site Photo Surveys/other reference, Geospecific pointers, Maps & Charts, and other internal resources) as it relates to Geotypical production and QA processes. - Production of “Area-of-Interest” and wide area feature population using advanced feature population processes/tools. Elements including but not limited to, powerlines, railroads, walls, highways, point trees, ML generated trees, building generation, rooftop clutter, vector bridges, and lightmaps. - Feature processing and QA support/revisions for all Geotypical feature content. - Resolve Geotypical production content DRs (discrepancy reports). - Geotypical Production support relating to internal tool development, testing, and research for potential 3rd party software options. ## EXPERIENCE REQUIRED FOR THIS POSITION: - Strong collaborative, critical thinking, and organizational skills. - Expertise in QGIS and/or ESRI ArcGIS geographic information system software. - Expertise with the Geotypical production tools and processes. - An understanding of 3D visual composition as it relates to real world data for simulation. (i.e., relative scaling, spatial orientation, color, texture) - Basic knowledge and experience using the Cygwin bash shell. - Basic knowledge and experience using Perforce revision control. - Experience working in a Microsoft Windows based environment. - United States citizenship required, due to restrictions on access to certain data and information. ## DESIRED COMPETENCIES: - Use of QGIS and/or ESRI ArcGIS geographic information system software. - Use of Jira Issue and Project tracking software. - Basic scripting and macro creation knowledge. - Use of Confluence corporate wiki. - Use of Microsoft Office. (MSExcel/MSWord) ## SUPERVISORY REQUIREMENTS: - None ## REQUIRED EDUCATION, ELIGIBILITY AND EXPERIENCE: - BA or BS degree from accredited college or university or equivalent employment history ## COMPENSATION & BENEFITS $70,000 - $90,000 USD per year The above range is specific to CALIFORNIA and may not be applicable to other locations. The pay scale for this role is between $70,000 - $90,000. Final compensation is based on factors such as the candidate's skills, qualifications, and experience. We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits. This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position. Duties, responsibilities and activities may be changed or others may be assigned at any time by the Company with notice to the employee. Aechelon Technology is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to hr_team@aechelon.com to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact. ## About Aechelon Technology ## Company Overview - **One-liner**: Aechelon Technology provides mission-grade synthetic reality visualization and simulation solutions for defense, national security, and emergency response customers. - **Entity Type**: Private (acquired by Shield AI, Inc. in November 2024) - **Headquarters**: South San Francisco, California, United States - **Founded**: 1998 - **Founders**: Nacho Sanz-Pastor (Co-Founder & CEO), Javier Castellar (Co-Founder & Chief Strategy Officer) ## Core Business - Primary industry/industries: Defense Technology, Simulation & Training, Synthetic Reality, AI/ML Data Generation - Target customers: U.S. Department of Defense (all branches), U.S. Allies, Government Prime Contractors, national security and emergency response organizations - Mission statement: "Ensure the safety, mission readiness and tactical superiority of national security and emergency response customers with immersive, high-fidelity and geo-specific representations of the real world." ## Products & Services - **Nucleus**: Real-time image generator with 8K imagery at 240Hz, multi-GPU single chassis design, incorporating AI/ML-driven databases. - **Nexus**: Secure shared storage solution for geospatial and sensor databases. - **SkyBeam™**: Rapid database updates and full motion video (FMV) generation. - **RTK (Radar Toolkit)**: Software toolkit for radar simulation and sensor modeling. - **Geo-Specific Databases**: High-fidelity, multi-spectral digital twin of Earth for training, testing, and mission rehearsal. - **Mixed Reality (MR) Trainers**: Head-mounted display solutions for immersive training, including eye-limiting multi-sensor MR systems. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company, acquired by Shield AI) - **Key Metric**: Annual Revenue of ~$23.6 million (LinkedIn estimate) - **Notable Investors/Partners**: Shield AI (parent company since November 2024), Sagewind Capital (prior investment) - **Growth Signals**: Headcount of 174 employees (+17.8% YoY, +34 people); LinkedIn followers grew 73.1% year-over-year; over 1,000 DoD operational flight training systems supported across U.S. and Allies; active on major defense programs including F-35, P-8 Poseidon, CH-47F, MH-60R/S, and F-16. ## Competitive Advantages - **Unmatched Fidelity**: Real-time 8K imagery at 240Hz with real-world physics, precise terrain, weather, and light reflection. - **Multi-Domain Expertise**: Decades of experience (since 1998) in visual simulation for air, ground, and maritime platforms across all U.S. military branches. - **AI/ML Integration**: Ability to generate synthetic training data and virtual sensor feeds to validate autonomous systems and AI/ML models at scale. - **Proven Track Record**: Excellent past performance evaluations on numerous high-profile defense programs with zero delivery failures noted. - **Patented Technology**: Holds 8+ patents in image generation and display systems, with 11 patents attributed to key engineer David Morgan. ## Strategic Focus - **Autonomous Systems & AI**: Scaling synthetic data generation for AI/ML training of autonomous navigation and ISR systems. - **Digital Twin Expansion**: Developing global commercial databases for multi-domain operations. - **Multi-Spectral Sensor Simulation**: Enhancing sensor capabilities across visual, radar, and infrared spectrums for mission rehearsal. - **Growth Through Shield AI**: Leveraging acquisition to accelerate development and expand market reach. ## Why Work Here - **Mission-Driven Work**: Directly contribute to national security and support U.S. Armed Forces and Allies. - **Cutting-Edge Tech**: Work with state-of-the-art AI/ML, 8K real-time graphics, and mixed reality systems. - **Stability & Growth**: Long-standing company (27+ years) with consistent growth and recent acquisition by Shield AI. - **Culture**: Emphasizes innovation, trustworthiness, and "performance without compromise" as core values. - **Locations**: South San Francisco, CA (HQ); Overland Park, KS; Orlando, FL; Farmer's Branch, TX; presence in Spain and Canada. - **Open Roles**: 17 active positions across Software Engineering, QA, Data Science, Systems Engineering, IT, and Content Creation (as of search date). ## Sources 1. [aechelon.com](https://aechelon.com/) 2. [aechelon.com/about](https://aechelon.com/about/) 3. [aechelon.com/careers](https://aechelon.com/careers/) 4. [Greenhouse Job Board](http://job-boards.greenhouse.io/aechelontechnology) 5. 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