Senior Software Engineer, Advanced AI Research & Prototyping

· Provide technical leadership on R&D projects, helping shape system architectures and technical approaches, and collaborating with engineering leadership across the company.

· Work across multidisciplinary teams including AI researchers, cognitive scientists, and engineers.

· Mentor junior engineers and research staff on software architecture, engineering practices, and scalable research infrastructure.

· Participate in customer engagements, technical reviews, demonstrations, and collaborative research activities.

·Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or a related technical field (or equivalent practical experience).

· Ability to obtain and maintain a U.S.

Government security clearance.

· 6+ years of professional software engineering experience developing complex technical systems.

· Strong proficiency in Python and modern software engineering practices.

· Experience building complex research prototypes or experimental systems.

· Familiarity with AI/ML technologies and integrating models into software systems.

· Experience architecting modular software systems and designing APIs or service-based architectures.

· Hands-on experience with containerization (e.g., Docker) or reproducible research environments.

· Ability to work in ambiguous, exploratory environments and translate evolving research ideas into working software.

· Strong communication skills and ability to collaborate with researchers, engineers, and external partners.

· Willingness to travel to support integration, demonstration, or customer activities.

Nice to Have

· Experience supporting DARPA, DoW, or other government-sponsored research programs.

· Familiarity with large language models, agentic AI systems, or multimodal machine learning.

· Experience building research testbeds, evaluation frameworks, or simulation environments.

· Background in distributed systems, high-performance computing, or scalable experimentation infrastructure.

· Experience contributing to technical publications, research demonstrations, or conference submissions.

· Exposure to cloud computing platforms (AWS, Azure, GCP) or hybrid research infrastructure.

· Interest in working at the intersection of advanced AI research, national security applications, and emerging technologies.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.