Top Tech Jobs & Startup Jobs in Austin, TX

Leads high-fidelity CFD analysis for missiles, interceptors, munitions, and other high-speed vehicles. Establishes CFD standards, develops meshes and automated HPC workflows, validates simulations against wind tunnel and flight-test data, and integrates aerodynamic databases into vehicle design, GNC, trajectory, and mission models. Mentors engineers, presents findings at design reviews, supports resource planning, and provides technical leadership across complete vehicle programs.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

The Platform Engineer will design and implement scalable compute infrastructure for autonomous vehicle simulation, utilizing cloud platforms and on-premises clusters, along with managing CI/CD pipelines and monitoring systems.

The job involves building responsive web dashboards, advanced data visualizations, and analytics tools for unmanned aircraft systems, requiring a deep understanding of UI/UX design and data presentation.

The DevOps Engineer III enhances software infrastructure for unmanned aircraft systems, focusing on backend integrations, frontend development, CI/CD pipelines, and system monitoring, collaborating with engineering teams.

Lead architecture and implementation of software for autonomous UAS systems; mentor engineers; ensure compliance with aerospace standards; optimize CI/CD pipelines.

Develop high-reliability software for safety-critical applications in UAS technology. Collaborate with teams, maintain solutions, and automate processes.

The Senior System Safety Engineer leads safety activities, conducts hazard analysis, engages with customers, and ensures compliance with safety standards in unmanned aircraft systems.

Lead perception technical efforts for UAS programs: design target detection/tracking and nonlinear state estimators, architect multi-sensor world modeling, integrate ROS2/DDS interfaces, optimize real-time C++ embedded deployments, and mentor engineers while contributing reusable platform components.

Build and productionize LLM-powered tools, RAG systems, and agentic workflows. Deploy and operate AI infrastructure on Kubernetes, manage model serving and vector stores, integrate identity and access controls, automate CI/CD and data pipelines, and establish evaluation and observability for deployed services in a defense-oriented environment.