Senior Engineer

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators.

Join us and take your place in space.

The Systems Engineering Division (SED) offers unparalleled expertise in systems engineering to the U.S. government and various public and private agencies, universities, nonprofit organizations, consortia, and commercial companies involved in the advanced development and application of space systems. From systems CONOPs and architecture development to system design and analysis, mission assurance, cost and schedule assessment, and economic market analysis, SED leverages a vast array of engineering and business disciplines across a dynamic portfolio of space programs and national challenges spanning the total space system lifecycle.

Aerospace’s Engineering Economic and Management Sciences (EEMS) Department is seeking an energetic and knowledgeable Program Planning & Schedule Engineer/Senior Program Planning & Schedule Engineer to join an innovative and highly productive team of cost, schedule, and operations research professionals. This growing, geographically distributed department supports a wide range of customers across the National Security, Civil and Commercial, and International Space Communities.

EEMS leverages expertise in cost, schedule, and economic engineering, along with operations research and management science techniques, to enhance cost- and schedule-related decision‑making processes. The department also conducts integrated studies, technical deep dives, and comprehensive reviews that provide actionable insights and uncover risks and opportunities. These efforts enable decision-makers to balance trade‑offs, optimize resource allocation, and develop robust solutions tailored to mission‑critical challenges.

EEMS also conducts government Business Intelligence, acquisition Workforce and Economic Modeling, and helps customers leverage artificial intelligence (AI) for rapid acquisition Decision‑Support. By synthesizing lessons learned from a variety of programs, EEMS continually refines engineering management practices in cost, schedule, and risk analysis to deliver impactful and enduring results.

This position is full‑time and requires on‑site work at one of the following locations:
El Segundo, CA;
Chantilly, VA;
Crystal City, VA;
Greenbelt, MD;
Huntsville, AL;
Albuquerque, NM;
Colorado Springs, CO, offering an in‑person work model that combines 4 or more regular onsite workdays per week and remote flexibility as the business needs allow.

• Advise national security and civil/commercial customers on schedule planning, program phasing, and execution strategies to support the successful development and delivery of space systems.
• Participate in space system design, acquisition, and program evaluation teams, supporting or leading schedule analysis activities and providing insight into schedule feasibility, critical path drivers, and schedule‑related program risks.
• Develop and evaluate Integrated Master Schedules (IMS) and perform independent schedule estimates and schedule health assessments to assess schedule realism and program execution readiness.
• Conduct schedule risk analyses using probabilistic modeling techniques to quantify potential impacts to key program milestones and delivery timelines.
• Analyze contractor schedules, proposals, and program documentation to evaluate schedule performance, margin, and programmatic risks, and ensure Aerospace technical quality in terms of completeness, accuracy, and analytical rigor.
• Develop and maintain schedule analysis tools, databases, and methodologies, contributing to more efficient and data‑driven schedule engineering practices across programs.
• Mentor…