Autonomy-Driven Spacecraft GNC Engineer

Technology Service Corporation Defense Services

Washington (District of Columbia)

On-site

USD 93,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

401k Plan
Flexible Work Schedules
Tuition Reimbursement
Co-Sponsored Health Plan
Paid Leave

Job summary

FALCATA is seeking a Spacecraft GNC Engineer to support work at the Naval Research Laboratory. The role involves analysis and design of Guidance, Navigation, and Control systems for space vehicles, including architecture of guidance and pointing, Monte Carlo analyses, and GNC algorithm development.

Collaboration with ML and autonomy teams is required. Candidates should have experience with momentum-exchange devices, inertial measurement units, optical guidance, and state estimation methods like

Qualifications

  • U.S. Citizenship and an active Secret clearance (TS/SCI preferred).
  • Preferred 2 years of experience in spacecraft and/or robotic arm control systems.
  • Working knowledge of spacecraft stability analysis, quaternions, attitude determination and control, and control algorithms.
  • Experience developing trajectory modeling and free-body modeling.
  • Knowledge of Kalman filtering.

Responsibilities

  • Design and analyze Guidance, Navigation, and Control systems for space vehicles.
  • Architect space vehicle guidance and pointing systems.
  • Conduct Monte Carlo analyses of free-flying space vehicle clusters.
  • Develop GNC algorithms and integrate with ML/autonomy experts.
  • Analyze momentum-exchange devices, reaction control systems, IMUs, and optical guidance.

Skills

Security clearance
Analytical thinking
Communication
Team collaboration

Tools

MATLAB
Simulink

Job description

FALCATA is seeking a Spacecraft GNC Engineer to support work at the Naval Research Laboratory. The role involves analysis and design of Guidance, Navigation, and Control systems for space vehicles, including architecture of guidance and pointing, Monte Carlo analyses, and GNC algorithm development.

Collaboration with ML and autonomy teams is required. Candidates should have experience with momentum-exchange devices, inertial measurement units, optical guidance, and state estimation methods like

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