Jobs at Aechelon Technology

Supports integration, qualification, production readiness, and lifecycle maintenance of workstation, server, and embedded computing platforms. Responsibilities include assembling and configuring hardware, executing functional and stress tests, troubleshooting hardware, firmware, drivers, and system issues, evaluating component changes, documenting results, maintaining engineering records, and supporting prototype logistics, inventory, manufacturing transitions, and lab operations.

Lead the architecture and technical direction of an offline Electron, React, and SQLite CPQ application. Own the data layer, migrations, integrations with NetSuite and business systems, security boundaries, testing standards, release engineering, and cross-platform packaging. Partner with sales, finance, and operations stakeholders, mentor engineers, guide roadmap decisions, and support contract analysis with document extraction and optional AI capabilities.

Create precise vector annotations and segmentation masks on geospatial imagery, validate and correct automated detections, maintain documentation and QA, support dataset pipelines, and assist ML teams with inference and model evaluation to produce production-ready training data.

Produce area-of-interest and wide-area geotypical feature population for the visual database using GIS tools, ML-assisted feature generation, QA, discrepancy resolution, and internal tool support. Collaborate with DAML and integration teams, prepare and preprocess training data, perform spatial analysis, and maintain feedback loops to improve ML-driven feature tools.

Provide first-level technical support and manage RMA processing from intake through resolution. Troubleshoot hardware/software, document cases, coordinate repairs/replacements, maintain ERP and tracking records, communicate status to stakeholders, support inventory and shipping documentation, and assist engineering and production with root-cause information and regulatory documentation updates.

Design and build high-performance, responsive frontend web and desktop applications (React/TypeScript/Electron). Drive frontend architecture and implementation decisions, integrate real-time bidirectional data (WebSockets), optimize for speed/security/scale, collaborate with UI/UX and backend teams, and mentor engineers to improve frontend engineering practices.

Lead development of tools and pipelines to reconstruct 3D models from images and video, register imagery to global terrain, generate and relight Gaussian splats, validate outputs for digital twin/AI use, and guide engineering efforts to deliver real-time graphics content for simulation and imagery exploitation.

The 3D Modeler will create, UV map, texture, and light various models, using Autodesk Maya and Adobe Photoshop, for 3D simulation environments.

Design, build, automate, and scale Windows-based storage platforms (including Storage Spaces Direct). Implement standardized, repeatable server deployments, high-availability clustering, and lifecycle management. Develop PowerShell automation, CI/CD integration, configuration management, and platform validation. Collaborate with hardware teams, contribute to architecture decisions, implement security best practices, and produce technical documentation to support customer deployments.

Lead product strategy, roadmap, and delivery for high-fidelity flight simulation and synthetic data solutions. Collaborate with engineering, systems, QA, content, and external stakeholders to gather requirements, prioritize backlogs, and manage full product lifecycle to meet military-grade standards and customer needs.

The Geotypical Production Modeler produces visual data using GIS software, focuses on machine learning for feature processing, and collaborates across teams for quality assurance.

Lead system-level validation and automation for complex simulation and 3D graphics subsystems. Define test strategy, build Python-based test frameworks and utilities, use AI-assisted tools to generate and improve tests, mentor junior QA, coordinate cross-team testing, and drive improvements in coverage, reliability, and release readiness.