Senior Staff Systems Algorithm Engineer

Northrop Grumman Northrop Grumman · Aerospace · Baltimore, MD +1 · Systems/Architecture/Test

Senior Staff Systems Algorithm Engineer at Northrop Grumman focused on algorithm concept and development for advanced electro-optical and infrared (EO/IR) sensing. The role involves leading a team in sensor modeling, signal/image processing, concept development, customer engagement, and AI/ML algorithm development for emerging sensors and mission areas. Responsibilities include leading R&D programs, mentoring junior members, developing and deploying novel EOIR-centric algorithms, building physics-based sensor models, and quantifying performance metrics.

What you'd actually do

  1. Lead technical execution of R&D programs
  2. Mentor and develop junior team members
  3. Develop, integrate, test, and deploy novel EOIR-centric algorithms
  4. Build and maintain physics-based sensor models
  5. Develop and quantify performance metrics for system performance

Skills

Required

  • Python or Matlab
  • airborne and/or space-based EOIR sensors
  • Physics-based understanding of detection methods for various phenomenologies
  • team lead experience
  • customer interactions experience
  • leading junior and peer team members

Nice to have

  • Advanced degree in STEM
  • technical proposals writing
  • principal investigator or team lead for R&D programs
  • developing and executing internal research and development projects
  • Current Top Secret clearance, SAP access(es), and/or SCI access
  • Strong communication skills

What the JD emphasized

  • AI/ML algorithm development
  • novel EOIR sensor capabilities
  • develop cutting-edge algorithms
  • analyze data collected from some of the most advanced sensors ever fielded
  • generate representative synthetic data using high-fidelity, physics-based models
  • Secret Clearance
  • Special Program Access

Other signals

  • AI/ML algorithm development
  • novel EOIR sensor capabilities
  • develop cutting-edge algorithms
  • analyze data collected from some of the most advanced sensors ever fielded
  • generate representative synthetic data using high-fidelity, physics-based models