Top Tech Jobs & Startup Jobs

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.

Lead a mechanical engineering team in designing and developing UAS mechanical solutions. Manage projects, mentor team members, and ensure compliance with industry standards.

Provide Windows desktop and server support and assist users on Linux and Windows workstations. Perform maintenance, monitoring, account and access management, documentation, system upgrades, and collaborate on infrastructure improvements and automation. Respond to alerts and troubleshoot hardware/software issues for end users.

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 system safety activities for unmanned aircraft systems, including risk management, safety architecture, documentation, test planning, and customer engagement.

Lead system safety activities across product lifecycle, conduct hazard analysis, ensure safety compliance, and engage with customers for safety reviews.

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.

Create and maintain clear, compliant technical documentation for UAS hardware and software, including operation and maintenance manuals, illustrations, checklists, and compliance documentation. Collaborate with engineers, program managers, manufacturing, and QA to translate CAD, BOMs, and test data into user-friendly procedural content and manage controlled document repositories.

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.