Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Lead Denver-based production, test, and manufacturing engineering teams to deliver qualified spacecraft on aggressive schedules. Own build/test processes, capacity planning, IMS inputs, automation and continuous improvement, test execution and anomaly resolution, and team development while ensuring AS9100/ISO9001 compliance and cleanroom/ESD standards.

As Lead Systems Engineer, you will define and implement mission requirements for space systems, lead cross-functional technical teams, and guide verification efforts, ensuring mission success and operational readiness.

The role involves generating work instructions, supporting production, managing calibration, providing technical assistance, and improving production efficiency for spacecraft systems.

The Chief Engineer will lead the technical execution of a space vehicle program, ensuring mission requirements are met and managing cross-disciplinary teams through various phases of development and integration.

The role involves designing and implementing simulation software for spacecraft using C++ and collaborating on algorithms for orbital mechanics and control.

The Mission Architect will develop aerospace and defense systems, ensuring successful implementation of mission requirements across complex platforms, optimizing spacecraft maneuvers, and overseeing integration and verification plans.

Lead the Mission Operations contribution to a satellite program end-to-end: develop CONOPS, oversee AI&T and on-orbit operations and disposal, integrate subsystem teams into an operable mission, lead and mentor a small multidisciplinary team, drive execution of operations tasks, support anomaly investigation, and contribute to proposals and critical mission phases (launch, early orbit, RPO).

Build and maintain AI platform infrastructure, connectors, API integrations, and custom AI-powered applications. Implement authentication, data pipelines, and tooling to embed LLM capabilities across teams. Contribute code, documentation, reviews, and enablement while ensuring security and compliance for government requirements.

Build and lead an enterprise AI platform: design infrastructure, integrations, and custom AI applications. Own provider/tool selection, deploy production model pipelines and connectors, ensure compliance with government security requirements, mentor engineers, and deliver company-wide AI enablement and training.

Build and operate an enterprise AI platform and integrations that connect LLMs to internal systems. Develop production AI applications, manage model/provider evaluations, ensure security/compliance for government environments, and deliver company-wide AI training and enablement.