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

Supports the software engineering lifecycle for hypersonic missile flight software, including requirements analysis, object-oriented design, code reviews, unit testing, integration, and formal testing. The intern contributes to navigation, guidance, and control software, embedded flight software, and hardware-in-the-loop testbeds while gaining aerospace software development experience under mentorship.

Leads systems integration and test engineering for aerospace systems, including test planning, architecture, procedures, execution, regression testing, requirements verification, issue resolution, and evaluation reporting. Coordinates cross-functional testing and supports engineering governance boards, schedules, and resource allocation. Requires work in a TS/SCI environment and collaboration with customers, external teams, and senior leadership.

Leads opto-mechanical engineering teams designing, analyzing, and testing optical payload hardware. Responsibilities include designing precision structures and mechanisms, selecting materials, developing requirements and performance budgets, producing supplier documentation, and creating build, test, and verification procedures. Provides technical mentorship and collaborates with payload leadership on mission requirements. The role requires extensive mechanical engineering experience, optical systems expertise, design-for-manufacturing knowledge, vendor coordination, and eligibility for a Top Secret clearance.

Serves as the principal technical authority for Orion electronic cards and box-level assemblies. Leads electronics design, integration, testing, troubleshooting, root-cause analysis, and ATLO integration support across the hardware lifecycle. Responsibilities include circuit troubleshooting, CCA test processes, scripting in Python, and technical leadership. The role requires engineering expertise, product engineering or technical leadership experience, and strong problem-solving and conflict-resolution skills.

Leads the GPS IIIF Software and Data Integration engineering team, overseeing flight software, database products, classified network infrastructure, simulators, integrity and continuity efforts, product releases, cost and schedule management, and customer engagement. Manages employee performance, development, staffing, budgets, risks, configuration control, and the transition from development to production.

Develops and applies software quality principles for software-based systems. Conducts verification, validation, inspections, audits, requirements traceability, software product reviews, and testing of hardware-in-the-loop systems. Designs software development and maintenance processes, evaluates quality systems, identifies deficiencies, and ensures compliance with contractual, technical, and process requirements.

Leads systems engineering and IT integration for mission-critical ground and air systems. Responsibilities include requirements development, technical planning, system architecture, VMware and Windows infrastructure deployment, networking, storage, Active Directory, security hardening, integration documentation, verification and validation testing, and deployment readiness. The role collaborates with software, hardware, test, customers, and stakeholders while mentoring junior engineers and improving processes.

Designs, analyzes, optimizes, simulates, integrates, verifies, and tests spacecraft guidance, navigation, and control systems. Develops high-fidelity MATLAB/Simulink and C++ models, supports mission operations and post-launch assessments, and leads engineers through requirements, design reviews, integration, verification, testing, delivery, and launch activities across spacecraft programs.

Develop, model, integrate, test, and troubleshoot laser and electro-optical systems, primarily for space applications. Lead optical design, alignment, environmental testing, performance characterization, tolerance and STOP analyses, optical requirements, component specifications, vendor support, and root-cause investigations. Collaborate across engineering disciplines, communicate findings through reviews and reports, contribute to new concepts and proposals, and mentor peers while independently owning technical work.

Develops, integrates, tests, and deploys AI, machine learning, autonomy, perception, planning, and control algorithms for mission systems. Translates requirements into production-grade machine-learning pipelines and software, integrates generative AI and LLM capabilities, troubleshoots implementations, and supports research-driven innovation. Collaborates with stakeholders, documents interfaces, develops human-machine interaction scenarios, and advances enterprise AI adoption.