Principal Software Engineer - Algorithms (FORGE)

Requisition ID: R10178159 Category: Engineering Location: Boulder, Colorado, United States of America Clearance Type: Secret Telecommute: No - Teleworking not available for this position Shift: Days (United States of America) Travel Required: Yes, 10% of the Time Relocation Assistance: Relocation assistance may be available Positions Available: 2 At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history. We look for people who have bold new ideas, courage, and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity, and bringing your whole self to work. Position Overview: The Launch and Missile Defense Systems division within Northrop Grumman Space Systems is seeking an Overhead Persistent Infrared (OPIR) Algorithm / Principal Software Engineer to join the Future Operationally Resilient Ground Evolution (FORGE) Sensor Specific Processing (SSP) team. The position is in Boulder, CO, which is nestled in the foothills of the Rocky Mountains, and only 25 miles from downtown Denver. As a Principal Software Engineer for the Algorithms team, you will be responsible for developing, analyzing, testing, and implementing algorithms to improve state estimation, image processing, backend processes, and software performance improvements. Additional responsibilities will include providing documentation to supply tracking algorithms including observation models, propagation models, and filters/smoothers. On-site testing and integration support activities are anticipated. Essential Functions: Performance analysis of tracking and state estimation algorithms Tool and prototype development using C/C++ and Python Algorithm defect tracking and resolution as required Perform Technical Documentation as required Basic Qualifications: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master's degree in a STEM discipline and 3 years of related experience, or a PhD and 1 year of relevant experience. Linux Experience C/C++, Python, Bash; 4 years development experience Algorithm design, especially for image processing and/or state estimation Data analysis - Population statistics, trend identification, and visualization (e.g., via Python) Bridge between theoretical concepts and practical implementation Ability and willingness to travel up to 10% to support business needs Applicants must have a current active in-scope U.S. Government DoD issued Secret security clearance at the time of application which is required to start. Preferred Qualifications: Strong statistical background and skills Experience in tracking and prediction algorithms, simulation, and validation Experience in the numerical implementation of motion filters. Familiarity with Overhead Persistent Infrared (OPIR) and Electro-Optical Infrared (EOIR) sensors and simulations is a plus Experience with containerization, e.g., via OpenShift, Helm, or Kubernetes Experience with high-performance computing / parallel programming Test-driven development (unit, functional, and integration) Salary Range: $110,300 - $165,500 Employees may be eligible for a discretionary bonus in addition to base pay. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays, and paid time off (PTO) for vacation and/or personal business. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. #J-18808-Ljbffr