Hybrid Remote Mission Integration Engineer (TS or TS/SCI)

Responsibilities

• Serve as a technical lead for customer engagements, translating mission requirements into scalable system architectures and solutions.
• Lead solution architecture and technical strategy for satellite ground systems and mission operations platforms.
• Support proposal development, including RFI/RFP responses, technical volumes, architecture descriptions, and solution narratives.
• Define and manage system requirements, interfaces, CONOPS, and architecture artifacts.
• Lead system integration, verification, and validation (V&V) activities across mission threads.
• Develop and maintain systems engineering documentation including ICDs, verification matrices, test plans, and acceptance criteria.
• Capture and manage technical risks, product gaps, and architectural tradeoffs.
• Coordinate integration efforts across software, product, engineering, and customer stakeholders.
• Provide input to product strategy and roadmap based on mission requirements and recurring capability needs.
• Ensure alignment between platform capabilities, customer mission needs, and delivery timelines.

Qualifications

• Bachelor’s or Master’s degree in Aerospace Engineering, Systems Engineering, Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in systems engineering, mission integration, satellite operations, or related technical roles.
• Experience working with complex systems across software, hardware, and operations environments.
• Strong background in requirements development, system architecture, and technical documentation.
• Experience supporting customer‑facing technical activities such as solution design, integration planning, or technical proposals.
• Familiarity with satellite ground systems, TT&C, or mission operations workflows.
• Strong communication skills with the ability to translate technical concepts for both technical and non‑technical audiences.

Preferred

• 8–12+ years of experience for senior‑level candidates.
• Experience supporting government or classified space programs.
• Experience with MBSE, SysML, DoDAF, or tools such as Cameo.
• Experience with verification planning, acceptance testing, and integration workflows.
• Familiarity with cloud‑based ground systems, APIs, automation, or modern software platforms.
• Experience with containerization or cloud environments (AWS, Kubernetes, Docker).
• Ability to script or code for analysis, testing, or prototyping (Python preferred).
• Experience with AI tools for analysis, documentation, or engineering workflows.

Compensation

Pay range: $160,000 - $180,000 (Based on years of relevant experience)

Benefits

Comprehensive benefits package including medical, dental, vision, 401k, paid time off, federal holidays, and sick leave.