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Optimization Algorithm Developer Modeling and Simulation

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: The Aerospace Corporation
Full Time position
Listed on 2026-05-03
Job specializations:
  • Engineering
    Software Engineer, Systems Engineer, AI Engineer, Aerospace / Aviation / Avionics
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Optimization Algorithm Developer for Modeling and Simulation

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.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real‑time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high‑performance software intensive systems to our Intelligence Community, DoD, and civilian customers.

The Modeling and Simulation Computing Department (MSCD) consists of a team dedicated to ground‑breaking software solutions and capabilities for government and commercial customer needs. We are looking for an Optimization Algorithm Developer for Modeling and Simulation (Engineering Specialist). We enable detailed and complex modeling, analysis, optimization, and visualization of satellite orbits, system architectures, and engineering trade‑spaces to provide customer decision support for the future of space.

Work

Model
  • This is a full‑time position based in El Segundo, CA, Colorado Springs, CO, or Chantilly, VA.
What You’ll Be Doing
  • Develop and implement optimization algorithms across multiple space‑focused domains including trajectory design, network design, constellation design, resource scheduling, message routing, and more.
  • Provide deep technical expertise, innovation, and project coordination/leadership onefforts to grow and sustain the sub‑division’s optimization capabilities in teams with multi‑disciplinary technical leaders across the company, Aerospace Program Office personnel, and external customers to define and address customer needs.
  • Partner with ETG analysis leads to advise key stakeholders and government customers by leading customer engagement efforts on a range of modeling and simulation workflows within the.
  • Serve as main point of contact for multiple programs and/or activities for major department‑level technical efforts tokey Aerospace Program Offices and external customers.
  • Help define and address customer needs through interaction with key technical leaders across the company, Aerospace Program Office personnel, and external customers.
  • Serve as a mentor to junior technical staff in one or more department focus areas.
  • Develop and present timely and technically accurate briefings and reports that clearly communicate software development progress and provide recommended design solutions to technical leads, management, and customers.
  • Engage with software users and customers to refine capability requirements.
  • Travel as necessary to support customer efforts.
What You Need to be Successful– Engineering Specialist – Modeling & Simulation and Systems Software Engineering

Minimum Requirements
  • Bachelor’s degree in mathematics, operations research, aerospace engineering, computer science, software engineering or other related degree
  • 6 years of relevant and progressive experience in optimization
  • Demonstrated expertise in at least one of the following optimization methods:
  • classical single‑objective techniques (gradient‑based methods, Newton's methods),
  • nonlinear programming (constrained/unconstrained NLP, SQP, interior point methods),
  • multi‑objective optimization (Pareto methods, genetic algorithms)
  • convex optimization
  • mixed‑integer programming, global optimization heuristics
  • Proficiency in C++ including software architecture, performance optimization, and algorithm development
  • Demonstrated success leveraging software configuration management and collaboration tools in team environments (Bitbucket, Jira, Git Hub, or similar)
  • Ex…
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