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The Aerospace Corporation

Space systems research, design, and advisory

Autonomous Trajectory & Mission Planning Engineer

Flight Dynamics & GNCUpdated on Nov 10
Full-time$100.9k - $175.4k /yr

About the Job

Requirements

  • A bachelor's degree from an accredited program in Engineering, Science, Mathematics, or a related technical discipline is required.
  • At least two years of relevant professional technical work experience is required for the Member of Technical Staff level.
  • Experience in one or more of the following subjects is required: space mission analysis and design, advanced astrodynamics, algorithm design, software development, mathematical modeling, multi-objective optimization, decision making under uncertainty, and/or trajectory simulation and performance optimization.
  • Proficiency with one or more of the following programming languages or tools is required: Python, C/C++, Fortran, or MATLAB.
  • Effective written and verbal communication skills are required.
  • Willingness to travel domestically to customer and contractor facilities approximately 10% is required.
  • The ability to obtain and maintain a U.S. government-issued security clearance is required; U.S. citizenship is required to obtain it.
  • For the Senior Member of Technical Staff level, typically five or more years of relevant technical work experience is required.
  • For the Senior Member of Technical Staff level, demonstrated technical excellence in relevant job capabilities and functions is required.
  • For the Senior Member of Technical Staff level, the ability to operate independently, often amid ambiguity, and deliver high-quality, relevant end products to a range of customers is required.

Responsibilities

  • Perform astrodynamics and orbital mechanics analysis, including orbit propagation, constellation design and optimization, and maneuver design and optimization for orbit transfer, station keeping, graveyard, disposal, and reentry events.
  • Analyze combinatorial optimization and sequential decision-making problems, such as the Traveling Salesman Problem, Facility Location Problem, and Markov Decision Processes.
  • Analyze multi-objective optimization problems using metaheuristics such as Genetic Algorithms, mathematical programming, deterministic methods, and optimal control methods.
  • Create, augment, and use flight-mechanics-centered C++ and Python software capabilities as stand-alone tools and ready-to-integrate submodules.
  • Use external tools such as SciPy, ASSET, GPOPS-II, SNOPT, POST, OTIS, Copernicus, GMAT, and EMTG where appropriate to augment internally developed capabilities.
  • Evaluate contested mission applications for space systems to understand threat performance, assess vulnerabilities, and improve system resiliency.
  • Develop Concepts of Operations (CONOPS), explore Tactics, Techniques, and Procedures (TTPs), and incorporate operational constraints into the design and maturation of space and near-space systems.
  • Collaborate across departments on maneuver and orbit design, selection, and optimization for missions supporting Rendezvous and Proximity Operations (RPO) objectives with complex operational constraints.
  • Collaborate across departments on cislunar and exploration-class orbital mechanics analysis and trajectory optimization.
  • Collaborate across departments on hypersonics, missiles, interceptors, and reentry-vehicle trajectory design and optimization.
  • Analyze vehicles with chemical and/or electric propulsion.
  • Design and optimize trajectories for launch vehicles and spacecraft operating in LEO, MEO, HEO, GEO, and other Earth-centric regimes.
  • Provide operational support for nominal launch and spacecraft deployment and transfer sequences, anomaly resolution, and on-call emerging events.

Desired Qualifications

  • A graduate degree and/or research or professional experience in engineering, mathematics, physics, computer science, or a related field is desirable.
  • Experience with sequential decision-making and optimization algorithms such as Monte Carlo Tree Search, Markov Decision Processes, Reinforcement Learning, Genetic Algorithms, and Particle Swarm Optimization is desirable.
  • Experience with multi-objective optimization, linear/nonlinear programming, and/or gradient-based and indirect methods is desirable.
  • Experience with reachable-set analysis for dynamical systems is desirable.
  • Experience building astrodynamics or flight-mechanics analysis software with integrated optimization and decision-making algorithms is desirable.
  • Experience with object-oriented programming, joint C++/Python development, and/or modern software development practices such as Git and version control is desirable.
  • Experience with contested-space trajectory applications, military exercises, and wargaming events is desirable.
  • Ability to build effective relationships with customers, contractors, and FFRDC personnel, including direct interface with senior government stakeholders, is desirable.
  • Current SSBI with active TS/SCI clearance and/or current SAP access is desirable.

About the Company

The Aerospace Corporation

Space systems research, design, and advisory

The Aerospace Corporation helps national security space programs through technical and scientific research, development, and advisory services. It provides engineering and acquisition management support to the Air Force, other Defense Department agencies, and civilian agencies. Its work covers launch system design and analysis, engineering, development, implications, and application, helping programs go from concept to tested systems. The company differentiates itself by focusing specifically on government space programs, offering independent technical expertise and mission-focused advisory services with a long history dating back to 1960, rather than competing primarily as a commercial contractor. Its goal is to enable reliable and secure space capabilities for national security by informing and guiding government programs from research through deployment.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
El Segundo, CA
Founded
1960

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