Sr/Principal Engineer: Machine Perception – Space Systems
| Company | Northrop Grumman |
|---|---|
| Location | Dulles, VA, USA |
| Salary | $110300 – $206000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- BS Degree in Engineering, Physics, or Math with at least 5 years of professional experience (3 years with Masters, or 0 years with Ph.D.) Experience can be considered in lieu of degree
- U.S. citizenship is required for this position, as well as the ability to obtain a DoD clearance at time of application
- BS Degree in Engineering, Physics, or Math with at least 9 years of professional experience (7 years with Masters, or 4 years with Ph.D.) Experience can be considered in lieu of degree
- U.S. citizenship is required for this position, as well as the ability to obtain a DoD clearance at time of application
Responsibilities
- Design, develop, integrate, and test machine perception algorithms for real-time on-board processing on space vehicles and near-real-time processing within ground systems
- Conduct rigorous testing, validation, and tuning of machine perception algorithms in simulated and laboratory environments
- Collaborate with other engineering teams to ensure seamless integration of machine perception systems with the overall space system
- Analyze data from heritage space missions to refine and optimize machine perception algorithms
- Stay current with advancements in machine perception technologies and techniques to continuously improve system performance
- Prepare technical documentation and reports detailing design processes, testing outcomes, and performance evaluations
- Design, develop, test, verify flight algorithms for the MP subsystem, and support flight software qualification testing
- Perform analysis to support early design phase concept development including sensor selection and placement and predicted performance assessments
- Develop and maintain simulation models
- Apply engineering principles, industry standards, company process, and knowledge of machine perception, vehicle dynamics, propulsion, classical/modern control, and estimation theory to perform tasks to advance program/project goals
- Document designs, analysis, test results, and generate presentation material
- Participate in peer reviews with internal and external customers
- Work well within small- to medium-sized groups
Preferred Qualifications
- Current Top Secret/SCI Clearance preferred
- MS or PhD degree in engineering, physics, or math
- Proficiency in MATLAB/Simulink, C/C++, and Python
- Experience with Computer Vision, Artificial Intelligence, and/or Machine Learning algorithms to support space vehicle navigation or robotics
- Experience in spacecraft MP subsystem design, analysis, and testing
- Experience implementing MP algorithms on embedded systems
- Prior work experience in a related field
- Proficiency with version control systems such as Git and SVN
- Proficiency in Microsoft Office suite
- Experience with Model-Based Systems Engineering (MBSE) and digital transformation tools (such as the Atlassian suite)
- Excellent analytical and problem-solving abilities