Jobs at MORSE Corp

Lead day-to-day accounting operations including payroll, AP/AR, fixed assets, reconciliations, and equity accounting. Prepare journal entries, month-end close, financial statements per U.S. GAAP, cash flow reports, budgets/forecasts, and audit support. Improve controls and processes while maintaining clear documentation and supporting stakeholders across the organization.

Analyze and evaluate machine learning algorithms, develop advanced algorithms for modeling, and collaboratively transition them to software applications, while engaging with stakeholders and researching innovative solutions.

As a Frontend Software Engineer, design, develop, and deploy web applications, collaborate with UX engineers, and implement user-friendly interfaces.

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

As a Flight Test Engineer, you will plan and execute flight test activities, coordinate resources, and ensure equipment safety and operability, working collaboratively with interdisciplinary teams on UAS systems.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

The Technical Recruiter will manage the full recruitment cycle, source candidates for various technical roles, and enhance MORSE's employer brand.

Design, develop, and maintain scalable C++ and Python software for hardware-software interfaces and real-time systems. Interface with sensors, cameras, GPS, radios, and microcontrollers. Participate in design and code reviews, use containerization (Docker/Kubernetes), follow Agile practices, collaborate across teams, and contribute to modular, maintainable codebases supporting DoD customers.

Perform Bayesian and probabilistic modeling, test and evaluate ML/AI systems, analyze complex datasets, develop algorithms, and transition solutions into software and real-time embedded systems for national security customers. Communicate results and propose technical paths forward.

Design, implement, and optimize computer-vision and multimodal ML algorithms; acquire and manage truth data; run experiments and rigorous evaluations; use MLOps tools for reproducibility; integrate and transition models to production (cloud, on‑prem, or embedded); track research advancements and analyze field-test data.

Design, develop, and maintain scalable, reliable Python applications. Participate in design and code reviews, collaborate with engineers and data scientists, adopt microservices and containerization, follow Agile practices, and support deployment and integration for DoD-focused AI/ML and simulation projects.

Perform data analysis and test & evaluation of machine learning algorithms; develop algorithms for physical and autonomous systems; transition algorithms to software and embedded systems; work with stakeholders to present results and solutions; research new ML and data-analysis methods; handle large, multidimensional datasets and data pipelines.

Design, develop, test, and deploy mission-planning algorithms and simulations. Process and analyze raw data, validate performance with dynamic-system simulations, document results, and present findings. Collaborate with cross-functional teams to integrate fieldable algorithmic solutions into software.

Design, develop, and deploy scalable cloud-native applications in Python. Build and maintain infrastructure-as-code, CI/CD pipelines, Kubernetes/Helm deployments, and ensure security compliance. Collaborate with engineers and data scientists to produce maintainable, modular software for DoD customers.

Lead technical vision and execution for AI/ML, decision systems, and mission planning programs. Manage multidisciplinary teams, ensure schedule and budget adherence, provide technical oversight, cultivate external partnerships, and pursue business growth while guiding program delivery and technical strategy.

Lead technical vision and execution for Battle Management C2 systems. Manage multidisciplinary Agile teams to design and deliver mission-critical web and mobile applications that fuse sensor data, provide real-time situational awareness, and support decision-making. Serve as technical liaison to government customers, drive business development and proposal capture, and ensure program schedule, budget, and delivery.

Lead technical vision and execution for AI/ML, data management, decision systems, and mission-planning software. Manage multidisciplinary teams, oversee program schedule and budget, cultivate partner relationships, pursue business opportunities, and provide technical oversight and guidance to deliver mission-critical solutions.

Lead Data Scientist will define goals and metrics for algorithm Test & Evaluation, research T&E methodology, lead vendor coordination, present analyses and results to stakeholders, and transition algorithms into software and real-time embedded systems.

Design, develop, and maintain full-stack web applications hosted in the cloud. Implement front-end UIs, build backend APIs interacting with cloud services, containerize apps, collaborate with infrastructure engineers, follow Agile and DevSecOps practices, and contribute to extensible, object-oriented codebases.

Lead AI Test & Evaluation programs that measure mission-level outcomes across models, subsystems, and user workflows. Architect T&E systems, advise government customers, translate findings into engineering recommendations, run program execution (schedule/budget/team), and grow business opportunities while leading a multidisciplinary technical team.