Top Tech Jobs & Startup Jobs

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

Maintain and operate the in-office QA test lab, create and maintain automated Python-based tests and Jenkins scripts, develop image-diffing and performance/stress tests, reproduce issues with engineers, perform manual testing when needed, document the test system, and support Kansas-based hardware and software test infrastructure.

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 validation strategy, testing execution, and automation for complex software systems, ensuring quality and performance across multi-component environments.

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.

Lead coordination, planning, and delivery of multiple software initiatives. Translate goals into plans, manage dependencies, risks, and communications, support testing and releases, triage field issues, and drive continuous improvement across cross-functional engineering, systems, and product teams.

Design and develop next-generation real-time graphics rendering engine and content-creation tools. Enhance art pipeline integration with shader engine to improve realism and performance. Lead peers to ship high-quality products under delivery deadlines and work with export-controlled technology.

Develop and optimize real-time graphics rendering engine components and content-creation tools. Integrate art pipelines with shader engine, collaborate on-site to improve visual realism and rendering performance.

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.

Integrate Aechelon Image Generators into simulators and trainers at prime contractor and end-user sites. Develop, modify, and debug Aechelon and customer software, reproduce and resolve runtime bugs, manage discrepancy reports with program management, and provide phone/email support to achieve ready-for-training status.